Category Archives: Ai

Baheya Foundation an Egyptian non-profit that provides breast cancer treatment free of charge has partnered with GE Healthcare to explore the use of artificial intelligence (AI) to improve outcomes in patients.

According to GE Healthcare, it is working with the foundation and its hospital to develop and validate the use of AI to assess and predict the response of neoadjuvant therapy in locally advanced breast cancer.

Usually the first step in treatment, neoadjuvant therapy is used to help shrink tumours, prior to main treatment such as surgery. Examples include chemotherapy, radiation therapy, and hormone therapy.

We are enthusiastic about how this research collaboration has the potential to transform future outcomes for breast cancer patients, said Agnes Berzsenyi, President and CEO of Womens Health at GE Healthcare. By combining our expertise with that of the Baheya Foundation and layering it with AI, we are one step closer to delivering on our mission of increasing early detection and helping to save more lives.

THE LARGER CONTEXT

With a number of diagnostic imaging technologies used to predict and assess a patients response to neoadjuvant therapy, AI reportedly has the potential to offer clinicians an earlier indication of how well a patient is responding to the treatment. This allows a timely change of treatment, with a reduction in unnecessary toxicity to the patient and a lower treatment cost for the hospital, explained GE Healthcare.

The company added that the project will focus on the use of AI in contrast-enhanced spectral mammography (CESM).

WHY IT MATTERS

Baheya Foundation confirmed that, as it grows its operations and expands the number of patients it serves, its new collaboration with GE Healthcare aims to expand clinical treatment options and further improve patient outcomes and experiences.

Founded in 2015, Baheya Foundation was formed in tribute to Baheya Wahbi, who when diagnosed with breast cancer herself over 20 years ago was not able to find treatment in Egypt. Honouring her request prior to her passing, her family went on to set up the non-profit to ensure all women in Egypt, no matter their income level, had access to world-class cancer care.

Every month, Baheya Hospital manages around 7,000 early detection incidences of breast cancer, 1,500 chemotherapy sessions, 3,000 radiation therapy sessions, and 350 surgeries. A second hospital is planned to open in Cairos Sheikh Zayed City in 2023.

ON THE RECORD

In addition to providing direct care to women, Baheya Foundation also conducts research to continually enhance the services it offers, said Mohamed Emara, CEO of Baheya Hospital. Baheya is [a] centre of excellence, providing [the] most advanced technology, [keeping] pace with global developments. [It is a] unique hospital in Egypt and [the rest of the] MENA region.

Radio-diagnosis consultant Mohamed Gomaa, who is the hospitals Head of Radiology, added: As part of our commitment to ongoing research in this field, our collaboration with GE Healthcare seeks to deploy the power of AI combined with clinical experience to expand our knowledge of the treatment pathways for neoadjuvant therapy to improve outcomes for patients at Baheya and beyond.

Link:

Baheya Foundation explores AI to predict response to breast cancer treatment - Mobihealth News

From ensemble cast of authors former Secretary of State Henry Kissinger, former Google CEO Eric Schmidt and MITs Daniel Huttenlocher comes The Age of AI: And Our Human Future, an exploration of how artificial intelligence (AI) is already changing our world and how it may someday change the very nature of the human condition.

AI will affect everything from the way we make scientific discoveries to the way warfare is conducted, the authors predict. It has already surpassed the worlds greatest chess players, and it wont be long before AI algorithms are the safest drivers on the road, the sharpest medical diagnosticians or the most prolific artists and writers.

But, uncontrolled, AI also poses nightmarish dangers to society: producing hyper-realistic fake speeches or videos of events that never happened, AI-driven warfare spilling over into the civilian sphere, or, most disturbingly, a future where the most significant decisions about the fate of the world are not made by humans.

While I had some familiarity with the subject of AI, I was excited to develop a well-rounded understanding of it from this title.

The Age of AI: And Our Human Future is dense with explanations, predictions, opinions and fears about AI, and is also encased in difficult and, at times, repetitive language. It lays out rough outlines for national and global committees that should determine AIs uses and limitations across industry, academia and governments, in what feels like a stream of consciousness narrative.

Because this book is based on actual conversations between the authors, it felt at times as if I were being hit with the conclusions of many hours of thought without the time to reason through it all myself and keep pace.

But the abstruse wording and repetitive statements werent the biggest obstacles to getting through this book. Instead, it was the deeply thought-provoking points made by the authors that regularly sent me spiraling into reflection. The authors did succeed in what was perhaps their primary objective: to instill in the reader a sense of the significance of AI and the need for discourse about it.

This book ambitiously attempts to walk the reader through as comprehensive a summary of AI as can be fit in 143 pages. This book has convinced me that AI will span far beyond the domain of science and technology, infiltrating every aspect of society and changing nearly everything about the way we live our lives.

Although I expected to come away from the reading somewhat satisfied on the subject, I was left asking more questions than I could find answers for in these pages. Though it was my first book on the subject, it will certainly not be the last.

This book may not be the singular text about artificial intelligence that I was hoping for, but its worth reading nonetheless. Its a guidebook for the kind of considerations we should be having about AI: how it will impact the economy, law, warfare, diplomacy and what it will mean to be human in a world dominated by nonhuman intelligence.

At its core, this book is meant to start a conversation perhaps what will soon be the conversation. As a new, AI-driven epoch of human existence looms on the horizon, this is a subject everyone needs to take the time to familiarize themselves with the sooner, the better. To that end, one need not look further than The Age of AI: And Our Human Future to do just that.

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Book Review: 'The Age of AI: And Our Human Future' - The Montclarion

This study evaluated if AI could determine the positional relationship between M3 and IAN based on panoramic radiography regarding whether the two structures were in contact or intimate and whether the IAN was positioned lingually or buccally to M3 when two structures were overlapped. In this situation, determining the exact position was limited and unreliable even for the specialist, as shown in previous studies25,26. However, AI could determine both positions more accurately than OMFS specialists.

Until now, if M3 and IAN overlap on panoramic radiograph, specialists could use the known predictive signs of IAN injury to determine the positional relationship whether the two structures were in contact or intimate. Umar et al. compared the positional relationship between IAN and M3 through panoramic radiography and CBCT. Loss of the radiopaque line and diversion of the canal on panoramic radiographs resulted in tooth and nerve contact in 100% of the cases on CBCT. Darkening of the roots were associated with contact on CBCT in 76.9% of the cases studied27. However, another study reported that the sensitivities and specificities ranged from 14.6 to 68.3% and from 85.5 to 96.9%, respectively, for those three predictive signs1. Datta et al. compared those signs with the clinical findings during surgical removal and found that only 12% of patients with positive radiological signs showed clinical evidence of involvement3. In the present study, we adopted CBCT reading results instead of radiological signs on panoramic radiography to determine the positional relationship so that the AI could determine whether the two structures were in contact or intimate, showing an accuracy of 0.55 to 0.72. Compared to another study1, our deep learning model exhibited similar performance (accuracy 0.87, precision 0.90, recall, 0.96, F1 score 0.93, and AUC 0.82) to determine whether M3 is contacting the IAN or not. This could explain the different model performance depending on the characteristics of the data.

To replace CBCT with analysis of panoramas with AI, information about bucco-lingual positioning was necessary to ensure safe surgical outcomes. It has been reported that the lingual position of the nerve to the tooth has a significantly higher risk of IAN injury compared to other positions28. To the best of our knowledge, no studies have evaluated bucco-lingual positioning through panoramic radiograph because there were no methods to predict this position using one radiograph. Two intraoral radiographs with different angle (vertical tube-shift technique) in the third molar area caused patient discomfort and nausea during placement of the film or sensor of the digital intraoral x-ray devices29 and is difficult to use clinically. Since there was no effective method to discern the position, the accuracy of the specialists was low in this study. On the contrary, the AI showed considerably high accuracy ranges from 67.7 to 80.6% despite the small amount of study data. The course of the IAN predominantly is buccal to the tooth28, and our data revealed a similar situation. However, the total number of cases was small to match the numbers in each group evenly for deep learning. In addition, the lack of total number of cases forced the use of a simple deep learning model with a relatively small number of parameters to be optimized. Therefore, training AI with more data could produce more accurate results and be used more widely in clinical settings.

In this study, bucco-lingual determination (Experiment 2) exhibited superior performance for true contact positioning (Experiment 1). The difference in accuracy between the two experiments seems to be a characteristic of the data rather than a special technical difference. There might be a particular advantage for AI to be recognized in bucco-lingual classification, or that some of the contact classification data might have characteristics that are difficult to distinguish.

There are several studies that have developed Al algorithms that have been able to outmatch specialists in terms of performance and accuracy. AI assistance improved the performance of radiologists in distinguishing coronavirus disease 2019 from pneumonia of other origins in chest CT30. Moreover, the AI system outperformed radiologists in clinically relevant tasks of breast cancer identification on mammography31. In the present study, the AI exhibited much higher accuracy and performance compared to those of OMFS specialists. To determine the positional relationship between M3 and IAN, we performed preliminary tests to determine the most suitable AI model using VGG19, DenseNet, EfficientNet, and ResNet-50. ResNet showed higher AUC in Experiment 2 and comparable AUC in Experiment 1 (Supplemental Tables 13). Therefore, it was chosen as the final AI model.

This study has limitations. First, the absolute size of the training dataset was small. Data augmentation by image modification was used to overcome the limitation of a small sized dataset. Nevertheless, as shown in Table 1, there were cases where training did not proceed robustly. Therefore, the performances of the trained models highly depend on the train-test split. This unsoundness of the trained model, which hinders the clinical utility of AI models for primary determination in practice, can be alleviated by collecting more data and using them for training. Also, the size of deep learning models is an important factor in performance and, in general, a large number of instances are required to train a large size deep neural network without overfitting. Thus, not only collecting more data but also exploiting external datasets from multiple dental centers can be considered to increase the performance of AI models. However, this study is meaningful in that the AI model performed better than experts even under these adverse conditions. Second, the images used in this study were cropped without any prior domain knowledge such as proper size or resolution to include sufficient information to determine true contact or bucco-lingual positional relationship between M3 and IAN. If the domain knowledge is reflected to construct a dataset, the performances of AI models can be highly increased. Third, the use of interpretable AI models32, which can explain the reason for the model prediction, can help to identify the weaknesses of the trained models. The identified weaknesses can be overcome by collecting data that the models have difficulty in classifying. Finally, the various techniques developed in the machine learning society, such as ensemble learning33, self-supervised learning34, and contrastive learning35, can be utilized for further improvement of the performance of our models even in situations where the total number of cases is insufficient as well.

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Artificial intelligence in positioning between mandibular third molar and inferior alveolar nerve on panoramic radiography | Scientific Reports -...

Leading global AI-powered credit decision platform provider, Scienaptic AI announced that deployment of its platform at Northern Credit Union is now live.

This deployment will enhance and augment Northern Credit Unions credit decisioning and underwriting capabilities for new and prospective members.

Founded in 1955 by a group of New York Air Brake employees, Northern Credit Union serves more than 36,000 members through nine Relationship Center locations across the North Country and a comprehensive online and mobile banking program. Throughout its history, Northern Credit Union has helped its members by providing the financial services, resources and education they need to achieve their financial goals. From its beginning and far into its future, this has been and will remain Northern Credit Union's foremost commitment.

As an organization that aspires to be the recognized standard of excellence in all our markets, we humbly embrace the higher expectations and responsibility to continuously improve for the betterment of our members, said Dan St. Hilaire, CEO at Northern Credit Union. Northern is blessed to have partnered with a forward-thinking organization whose mission, vision and culture, uniquely aligns with ours. Working with Scienaptic has been effortless, educational and a whole lot of fun! Our collaborative success will be premised on this foundational advantage. We are excitedly eager to release our pent-up excitement for the profound impact this platform will surely have on the financial well-being of our members and organization.

"We are driven to improve the financial lives of members Northern Credit Union serves through credit empowerment and personalized decisions, said Pankaj Jain, Co-founder and President of Scienaptic. In our shared passion to WOW members and exceed their expectations, we feel privileged that our AI is increasing credit access and supporting Northern Credit Union members in fulfilling their dreams.

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Northern Credit Union goes live with Scienaptic AI platform - Finextra

CHARLOTTE Channel 9 got an early look at first-of-its kind technology thats designed to keep drivers and passengers safe on the highway.

Part of Interstate 77 will soon have so-called smart cameras. Theyll be used to help alert crews to any dangers on the drive through the 26 miles of toll lanes between uptown Charlotte and Mooresville.

Traffic Team 9s Mark Taylor visited the Charlotte Traffic Management Center with Channel 9s partners at I-77 Mobility to see how they work.

[ALSO READ: Why are deadly crash trends on the rise around Charlotte?]

Heath Holland is the manager of the CTMC.

Once we pull the incident up on camera and verify it is an actual incident, the operator is trained at that point to dispatch necessary emergency crews, Holland said.

The system is impressive but it can be overwhelming to manage. A new pilot program using artificially intelligent cameras along I-77 could alert crews to danger more quickly.

AI technology isnt totally new, but the new pilot has the first cameras of their kind in North Carolina and the technology is remarkable.

What we want to look for is the past and present images to be constantly moving, said I-77 Mobility Chief Information Officer Farouk Soliman. Any changes when something is not moving, the system goes thats a problem. Or it will see something that wasnt there in the previous image and it senses something there that is new.

[ALSO READ: SC motorcycle deaths reach four-decade high of 154 in 2021]

Thats when emergency services are alerted, getting first responders to those hazards faster. That shorter response time could save lives.

But the new cameras arent cheap; they can cost up to $8,000 apiece. But whos paying?

This does not cost motorists anything, Soliman said. This is part of our budget to maintain the road safe for everyone.

And I-77 Mobility said it will be worth it. Last year, crews responded to more than 2,200 incidents -- 950 of them crashes. The numbers show a decline in the previous three years, but it wants those numbers to reach zero.

Our goal is to always have the latest in innovation out there to make sure the road is safe for our motorists, Soliman said.

Mobility Partners hopes to have a significant number of cameras installed along the 26-mile corridor by the end of the year. The cameras will be installed in stages, starting with sections of I-77 that see higher traffic volumes and accident-prone areas, like on- and offramps.

(WATCH BELOW: Expect officers to crack down on fast drivers along Charlottes speed corridors)

2022 Cox Media Group

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I-77 will have smart cameras that use AI to alert first responders to crashes - WSOC Charlotte

In the second half of 2021 the number of artificial intelligence deals decreased significantly by 50% from the same period in 2020.

This marks an acceleration in growth from the 75% decrease in deals that occurred in H1 2021 relative to the same period a year earlier.

GlobalDatas deals database looks at mergers, acquisitions and venture capital and private equity investments taking place daily between thousands of companies across the world.

During second half of 2021, artificial intelligence deals accounted for 2.2% of all deals taking place in the sector. This represents an increase from the figure of 2% in second half of 2020.

GlobalData's thematic approach to sector activity seeks to group key company information on investments to see which industries are best placed to deal with any issues they may encounter.

These themes, of which artificial intelligence is one, are best thought of as "any issue that keeps a CEO awake at night", and by tracking them, it becomes possible to ascertain which companies are leading the way on specific issues and which ones have some work to do.

ATM Systems, Simulators and Tools

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AI deals decreased significantly in the airport industry in H2 2021 - Airport Technology

GAINESVILLE, Fla. The University of Florida announced this week a new collaboration with tech giant IBM to launch a comprehensive skills program designed to extend UFs vision to be an international leader in artificial intelligence, data science, fintech, and other related technologies that can help solve societys biggest challenges.

UF already ranked by U.S. News & World Report as one of the nations most innovative universities and IBM will work together to support UFs faculty and students as they develop diverse and high-demand skillsets in artificial intelligence, cybersecurity, quantum cloud computing and data science that align with industry needs and trends. The collaboration will extend to West Palm Beach, where UF is exploring an opportunity to co-create academic programming at a new campus that will serve the needs of the regions rapid influx of companies across sectors, including finance and technology.

The collaboration is the next step in UFs ambitious goal to be the leading AI University in the nation. The initiative will help UF transform the nations workforce and bolster research by embedding technology into its curriculum across disciplines.

This collaboration with IBM puts us on the fast track to leadership in helping the world meet the greatest challenges of the 21st century, UF President Kent Fuchs said. By deepening our progress in artificial intelligence and other critical information technology, it will give our professors, scientists and students the right tools at the right time benefiting everyone from teachers preparing schoolchildren for career success to doctors providing patients the very best health care to farmers growing more sustainable, healthier, productive crops.

In a memorandum of understanding, IBM is pledging to UF software and tools to bolster the universitys work in AI and data science, including hybrid cloud. The multi-year initiative with IBM includes plans to developat least one newdegree program in AI,and the provision of online coursework, software, lecturers and case studies from the IBM Academic Initiative.IBM will also help establish a campus center that focuses on finance and technology education and research, and will provide curated course content, access to the IBM Cloud, and digital certificates to award upon course completions.

The collaboration with IBM follows last years substantial and transformational investments from UF alumnus and NVIDIA co-founder Chris Malachowsky to boost the universitys AI and data science capabilities.UFs AI University initiative is highlighted by more than $250 million in support from the university, the state of Florida and generous donors.

Working side-by-side with a company the caliber of IBM moves UF a giant step toward our efforts to transform how people work, learn and play, said Cammy Abernathy, dean of UFs Herbert Wertheim College of Engineering. Our motto in our college is Powering the new Engineer, and that exactly what IBM is doing.

IBMs relationship with UF is part of the companys Global UniversityPrograms, which provide assets,training, curriculum content, hands-on labs and software to academic institutionsto advance relevant skills for todays workforce.Through IBMs Global University Programs more than 900,000 students are enrolled in at least 334 specialized academic courses inover 10,000universities and schools across the world. The companyhascommitted to train 30 million peopleworldwide by 2030.

IBMs investment in UF supercharges the universitys efforts to serve Floridians and others throughout the world. Plans include using advanced technology to reimagine how industries operate and prepare for the future. By embracing artificial intelligence and other powerful technologies, UF can help Florida become an economic powerhouse while addressing some of the worlds most pressing concerns, university leaders say.

If we are going to be successful in advancing technologies such as AI and training people to apply it to civic, social and business challenges, it will require us to partner with key institutions of higher education and research like the University of Florida, said Justina Nixon, an IBM Vice President and Global Head of Corporate Social Responsibility. Skills are a human right and we aim to work with partners to make state of the art education and career readiness as widely accessible as possible. Todays announcement with the University of Florida is designed to advance this critical agenda.

The University of Florida, which traces its roots to 1853, has a long history of established programs in international education, research and service, and is one of only 17 public, land-grant universities in the Association of American Universities, which comprises Americas leading research universities. UF is ranked No. 5 in the most recent U.S. News and World Reports list of best public universities.

Source: IBM

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IBM and University of Florida Collaboration to Bolster Research in AI and Data Science - HPCwire

Welcome to the qualifying round of the 2022 US Investment Olympics.

The goal of the games is simple: beat the S&P 500, either by generating higher returns or playing dirty and going for higher risk-adjusted returns.

Let the games begin!

Qualification

Like the 2022 Winter Olympics in Beijing, the US Investment Olympics are not easy to qualify for. Mutual funds are automatically barred from participation. Their fees are just too high for them to have a realistic shot against the S&P 500. Hedge funds have even higher fees and theoretically should be hedged, so they cannot compete with the stock market either. In fact, the only securities capable of matching the index are ETFs.

So far, there are eight ETF contestants representing three themes:

Although less expensive than the average mutual or hedge fund, the ETFs have fees of 64 basis points (bps) and are not cheap compared to low-cost index trackers. But then again, top-notch performance is not free.

Despite their contemporary themes, our ETFs have yet to resonate much with the investment community. Their cumulative assets under management (AUM) are only $700m, even though some have track records going back to 2012. But then again, who doesnt love cheering for the underdog?

Link:

Smart money, crowd intelligence and AI - ETF Stream

A team of horticulture researchers and data scientists from the prestigious China Agricultural University is taking part in the Pinduoduo tomato-growing contest to evaluate how useful artificial intelligence is in helping farmers improve production.

AI assists growersCalling themselves CyberTomato, the researchers are using computer vision techniques to find signs of plant disease, forecast fruit output and make recommendations such as when and how much to water and fertilize. The role of AI in this scenario is to assist farmers in making decisions instead of replacing them.

That is closer to how farmers will use AI in real-life operations, according to Yang Hao, a PhD student at China Agricultural University and CyberTomato team member. He was part of the winning team in the inaugural Smart Agriculture Competition in 2020/21.

Last year, we had to build comprehensive AI models to manage the overall production in the greenhouse, while this year AI is more focused on helping plants to grow well, said Yang. In this sense, AI is playing a supporting role instead of a leading role this year.

Spearheaded by Pinduoduo, Chinas largest agriculture platform, the Smart Agriculture Competition aims to provide a platform for top agricultural and computer science researchers to develop practical, cost-effective technology that can help farmers to improve production, and by extension, their livelihoods.

The contest is co-organized by China Agricultural University and Zhejiang University and supported by the Food and Agriculture Organization of the United Nations and Wageningen University & Research, giving the participants a high-profile avenue to showcase their work to global experts.

In the inaugural competition, technology teams outperformed traditional growing teams by producing 196% more strawberries by weight on average. By demonstrating the potential of AI in increasing production yield, the competition now focuses on how to integrate and apply the technology in conditions that more closely mimic commercial agriculture.

Technology useChina is promoting the use of technology in agriculture to close the gap with developed countries in production yield and become self-sufficient in staple foods. That has ranged from the increasing deployment of drones for mapping and spraying, to highly automated greenhouses that use sensors to detect minute changes in soil composition and climate.

Technology is the key to overcoming Chinas lack of arable land. It takes about 1 acre to feed the average US consumer, while China has only about 0.2 acres of arable land per citizen.

However, there are obstacles standing in the way of adoption, from the availability of trained labor to operate sophisticated technology, to the cost-effectiveness of such technology. Ensuring that researchers are developing technology that is commercially feasible thus takes on added importance.

China is facing the challenge of rising labor costs and aging farming population, said Liu Haojie, a member of CyberTomato who founded his own agtech business after graduation. Toward the later stage of the competition we will review our technologies and come up with a viable solution, and ultimately we hope to commercialize it to help farmers.

CyberTomatoCyberTomato is one of four teams that have seen selected for the finals of the Smart Agriculture Competition, now entering its final stretch at Pinduoduos smart greenhouse based in Yunnan.

Contestants will take a multidisciplinary approach, applying nutrition science, precision farming, and other relevant technology to cultivate tomatoes. The winners will be judged on yield, nutritional value, environmental sustainability, and commercial viability.

I think it is a particularly good direction if we can put this kind of scientific and technological means to solve the problem of agricultural production and then to be able to use less land to feed more people, said Yang Ruimei, a PhD student specializing in controlled greenhouse environment at China Agricultural University.

I come from the countryside, and I think that if agriculture is to be developed, there is a need for more talented young people to join the development of agriculture.

For more information on the competition:Smart Agricultural Competitionstories.pinduoduo-global.com

Continued here:

"Our AI models are focused on helping plants to grow well" - hortidaily.com

Tech like AI, advanced telehealth systems and remote devices will be change healthcare for physicians and patients alike in the coming year.

For the past two years, our health and the healthcare industry have been at the front of our collective continuousness like at no time in recent memory. And as we move into 2022, technologies such as AI, wearables and new telehealth systems will play a significant role in helping us get and stay healthy.

Dr. Michael Aragon, chief medical officer at Outset Medical, a medical device manufacturer, shared his top five 2022 trends for healthcare with TechRepublic, and technology was front and center.

Wearables like the Apple Watch and Fitbit brought personal health tracking to the masses and in the past few years, the market has expanded dramatically to include a variety of in-home health teach that will monitor your blood pressure, heart rate, spO2, ECG, PPG, sleep quality and even neurological disorders.

This trend will continue to grow as individuals want the ability to have their health monitored without theneed to visit their physician, Dr. Aragon said. He expects a flood of new products to hit the market in 2022.

Dr. Aragon isnt the only one predicting dramatic growth in the wearables market. According to Deloitte Global, 320 million consumer health and wellness wearable devices will ship worldwide in 2022, and by 2024, that figure could hit 440 million units as more health care providers recommend them to patients.

SEE: Top 5 tech trends for 2022 (TechRepublic)

According to September 2021 report from Grand View Research, the global home healthcare market reached $299 billion in 2020 and is expected to grow at a CAGR of 7.88% from 2021 to 2028. This was a shift from 2019 to 2020, when the home healthcare market declined 1.64%.

The pandemic increased the demand for home healthcare equipment with patients, particularly those most at risk when exposed to COVID-19, Dr. Aragon said. He doesnt see this trend ending, as patients refuse to give up the benefits of at-home healthcare being received during the pandemic.

Outsets Tablo Hemodialysis System is an example of a home healthcare device as it gives patients the option to dialyze in their own home.

According to research from Arizton, the global healthcare AI market is predicted to reach $44.5 billion by 2026, growing at a compound annual growth rate of 46.21%. This increased use of artificial intelligence will be driven by pharmaceutical companies using technology to boost innovations, the increase in patient volume and the shrinking workforce in healthcare facilities.

The addition of AI reduces human error, whether in radiology tools and immunotherapy for cancer patients, determining the best treatment for a dialysis patient, or identifying where the latest infectious disease is spreading around the world, Dr. Aragon said.

According to global management consultants, McKinsey & Company, the use of telehealth services skyrocketed during the pandemic, hitting a level 78 times higher in April 202o compared to before Covid-19. That level has since fallen, but telehealth usage still remain 38 times higher than before the pandemic. Dr. Aragon see this trend continuing.

Innovation has skyrocketed due to increased interest in telehealth, and it will continue to grow as new virtual healthcare models and business models evolve and new services and health solutions are made available, Dr. Aragon said. Visiting the doctor will soon become a virtual experience for many patients.

Citing statistics that show minorities and people of color are not given equal access to quality care, Dr. Aragon said that this is the year that the healthcare industry will take a strong look at these disparities and find ways to create healthcare that leads to cultural competency among healthcare providers so that they can better meet the unique social and cultural needs of their patients.

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2022 Healthcare trends will be driven by AI, wearables and virtual medicine - TechRepublic