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Contxto Turning 18 is a pretty big deal when you think about it.

In most Latin American countries it comes with many rites of passage like obtaining a drivers license. Or, a common favorite, being able to legally drink. But of course, its also a time when you have to make one of the most important decisions of your life. Thats right, choosing a career.

Luckily for todays kiddies visiting a campus, reviewing a schools curriculum, and talking to university staff can be done online.

Furthermore, there are edtechs like Peruvian Queestudiar that are helping students in Latam figure out the next step in their path as learners.And perhaps through artificial intelligence (AI) and a user-friendly interface, this startup can achieve where guidance counselors and universities often fail.

Some kids are lucky because they go their entire life well-aware of what they want to study after high school.

For those less fortunate, it means rummaging through dozens of programs and considering potential job careers. This process also takes a lot of self-knowledge, and lets face it: just how much self-knowledge does a 17 or 18-year old have anyway?

To add to the existential crisis/confusion it probably doesnt help that nowadays there are way more options to choose from.

[We] prioritize finding the right way of choosing a career, explained Mayra Lzaro, Founder/CEO of edtech Queestudiar.

Given that 80 percent of students dont know what to study, that leads to them under-performing in their chosen profession.

In sum, you choose a degree you dont really like and wind up at a job you hate.

Through an online questionnaire on its platform, Queestudiar gets to know its users in terms of potential career interests, budget, and location.

From there it can find universities and programs that match these fields or connect them with the edtech team for more guidance. In addition, it also offers a database with educational institutions profiles for students to review.

But its just as important to follow up with students, and for this edtech, thats where AI technology comes in.

Because of the number of users we have, weve implemented artificial intelligence. Through this effort, we want to carry out a follow-up process with the student during their first few months [in the educational program].

That begs the question, just how accurate is Queestudiars career path counseling? The edtechs CEO gave Contxto the scoop:

After examining 60,000 student profiles across Latin America, our current accuracy rate is 82 percent and the precision rate is 74 percent. But we always recommend an exploratory process with one of the counselors on our team.

This startup is covering a niche in education often left out by other edtechs. A vast majority offer online coursework or search engines.

And interestingly Queestudiars steps into AI for vocational purposes is quite interesting. Machine learning can play an integral role in future generations choosing their career paths. However, given the human aspect of this process, AI technology must be used as a complementary tool for career orientation.

How easy was it for you to decide what to study after high school? Are you happy with your decision? And heres the kicker: Do you currently work in something related to your higher learning degree?

Although at the end of the day, these questions are irrelevant. A piece of paper, like a degree, doesnt define who you are.

Its what you do with your knowledge that matters.

Related articles: Tech and startups from Peru!

-ML

The rest is here:
Edtech uses artificial intelligence to help students find their calling - Contxto

Updated: May 25, 2018:

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Shaping EU regulations on artificial intelligence: the five improvements - JD Supra

Updated: May 25, 2018:

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The EU White Paper on Artificial Intelligence: the five requirements - JD Supra

With most Americans complying with nationwide stay-at-home orders enacted to reduce the spread of the novel coronavirus, a handful of states have nonetheless permitted construction sites to continue operations on essential projects. Site safety inspectors have therefore been left with the difficult task of ensuring that the workers they oversee are practicing all safety protocols as advised by the Center for Disease Control (CDC) and the Occupational Safety and Health Administration (OSHA), that include maintaining a distance of six feet apart from one another, wearing face coverings over their noses and mouths during work hours, and minimizing interactions when picking up or delivering equipment or materials.

On April 6, the artificial intelligence (AI) company Smartvid.io unveiled Vinnie, a new feature for its interface that will be able to monitor construction workers level of compliance with the advised social distancing protocols as a virtual safety inspector. The big thing with construction continuing to go on, Josh Kanner, CEO and founder of Smartvid.io, told Engineering News Record, is weve got some projects where the client is paying for extra labor on site to monitor people [for social distancing] and separate them.While Smartvid.io has provided AI technology for construction sites for over three years, the pandemic presented an unexpected set of challenges that required quick advancements.According to the companys website, Vinnie has been trained to findand counta number of indicators of project risk in the areas of safety, productivity and quality that include worker proximity and their use of personal protective equipment. Safety inspectors can either watch the footage in real-time or from recorded photos and videos, allowing their surveillance to be carried out beyond typical working hours.

For construction workers who may be concerned about any potential breaches of privacy afforded by the updated surveillance technology, Smartvid.io has made clear that there is no facial recognition and never will be, and that Vinnie has been certified to be compliant with the strict privacy requirements specified by the European GDPR standard.

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Artificial Intelligence developed to monitor social distancing on construction sites - The Architect's Newspaper

Former Prime Minister of the UK, David Cameron, once remarked that: I believe the creation of the Government Digital Service is one of the great unsung triumphs of the last Parliament. Today, the role of the Government Digital Service (GDS) as part of the Cabinet Office concerns the digital transformation of government. On the GDSs blog, they sum up what they are all about in their own words. Were a centre of excellence in digital, technology and data, collaborating with departments to help them with their own transformation. We work with them to build platforms, standards, and digital services. (1)Artificial intelligence in the public sector

In A guide to using artificial intelligence in the public sector, we learn that AI could change the way we live and work, for example, several public sector organisations use AI for tasks ranging from fraud detection to answering customer queries successfully today. While it is estimated that AI could contribute 5% of the UKs GDP by 2030, ethical, fairness and safety considerations must be taken into account

The paper also gives a very useful definition of AI, that includes the following: At its core, AI is a research field spanning philosophy, logic, statistics, computer science, mathematics, neuroscience, linguistics, cognitive psychology and economics

AI can be defined as the use of digital technology to create systems capable of performing tasks commonly thought to require intelligence

Machine learning is the most widely-used form of AI, and has contributed to innovations like self-driving cars, speech recognition and machine translation.

One of the many case studies highlighted in the paper concerns the Department for International Development who partnered with Columbia University, the University of Southampton, and the United Nations Population Fund to apply a random forest machine learning algorithm to satellite image and micro-census data. Another is about how the Driver and Vehicle Standards Agency (DVSA) uses AI to improve MOT testing.

The paper also draws our attention to the fact that AI can benefit the public sector, such as giving more accurate information, predictions and forecasts that result in better outcomes, more accurate medical diagnoses or automating repetitive and time-consuming tasks to free up the valuable time of frontline staff.

However, with an AI project, you need to consider several factors, including AI ethics and safety the paper urges, such as data quality, fairness, accountability, privacy, explainability and transparency, plus costs. The paper also notes that you need to ensure that your AI system is compliant with GDPR and the Data Protection Act 2018 (DPA 2018), including the points that concern automated decision making.

Automated decisions in this context are decisions made without human intervention, which have legal or similarly significant effects on data subjects. For example, an online decision to award a business grant.

If you want to use automated processes to make decisions with legal or similarly significant effects on individuals you must follow the safeguards laid out in the GDPR and DPA 2018. (3)

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Digital transformation: Artificial intelligence in the public sector - Open Access Government

NEW YORK, April 15, 2020 /PRNewswire/ --

KEY FINDINGSThe global artificial intelligence in healthcare market is set to register growth, projecting a CAGR of 38.05% during the forecast period, 2020-2028. The prominent drivers of market growth are estimated to be the rising big data in the healthcare industry, the growing use of AI in genetics, the emergence of personalized medicine in tests for clinical decision making, along with the creation of a real-time monitoring system due to AI.

Read the full report: https://www.reportlinker.com/p05242360/?utm_source=PRN

MARKET INSIGHTSThe utilization of AI in healthcare entails the use of software and algorithms for estimating the human perception for analyzing complex medical data, along with the relationship between treatments or prevention techniques and patient outcomes.The growing demand for real-time monitoring system is one of the key aspects propelling the growth of the global artificial intelligence in healthcare market.

The real-time monitoring devices like health monitoring devices or indicators track real-time health data of patients, which is increasing the demand for AI in healthcare.The devices also drive the relevancy of data interpretation and aid in reducing the time the patients spend in piecing data output.

In healthcare, the devices help in detecting and preventing undesirable patient outputs. The growing number of mobile devices integrated with artificial intelligence assists in the prediction of future outcomes with regard to health, which further benefits market growth.Medical practitioners are reluctant to adopt AI-based technologies, and this is restraining the growth of the market.The reluctance is because of the lack of data that identifies healthcare decisions.

Also, from a diagnostics point of view, AI systems fare less in terms of efficiency in comparison to conventional methods.The companies in the market are competing against each other by providing the same characteristics and similar prices.

The competitive rivalry is projected to be high during the forecast period.

REGIONAL INSIGHTSThe geographical segmentation of the global artificial intelligence in healthcare market includes the analysis of Europe, North America, Asia Pacific, and the rest of the world.Inkwood Research estimates the Asia Pacific region to be the fastest-growing region by the end of the forecast period.

The invention of new technologies, the presence of countries like China, Japan, Australia, and India, and the thriving artificial intelligence market, are the factors propelling the growth of the market.

COMPETITIVE INSIGHTSSome of the prominent companies operating in the market are Enlitic Inc, Next IT Corporation, Recursion, Welltok, GE Healthcare, Microsoft Corporation, etc.

Our report offerings include: Explore key findings of the overall market Strategic breakdown of market dynamics (Drivers, Restraints, Opportunities, Challenges) Market forecasts for a minimum of 9 years, along with 3 years of historical data for all segments, sub-segments, and regions Market Segmentation cater to a thorough assessment of key segments with their market estimations Geographical Analysis: Assessments of the mentioned regions and country-level segments with their market share Key analytics: Porter's Five Forces Analysis, Vendor Landscape, Opportunity Matrix, Key Buying Criteria, etc. Competitive landscape is the theoretical explanation of the key companies based on factors, market share, etc. Company profiling: A detailed company overview, product/services offered, SCOT analysis, and recent strategic developments

Companies mentioned1. DEEP GENOMICS INC2. ENLITIC INC3. GE HEALTHCARE4. GENERAL VISION INC5. GOOGLE6. IBM CORPORATION7. ICARBONX8. INTEL CORPORATION9. MICROSOFT CORPORATION10. NEXT IT CORPORATION11. NVIDIA CORPORATION12. ONCORA MEDICAL13. RECURSION PHARMACEUTICALS INC14. STRYKER CORPORATION15. WELLTOK INC

Read the full report: https://www.reportlinker.com/p05242360/?utm_source=PRN

About Reportlinker ReportLinker is an award-winning market research solution. Reportlinker finds and organizes the latest industry data so you get all the market research you need - instantly, in one place.

__________________________ Contact Clare: clare@reportlinker.com US: (339)-368-6001 Intl: +1 339-368-6001

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The global artificial intelligence in healthcare market is set to register growth, projecting a CAGR of 38.05% during the forecast period, 2020-2028 -...

60,000 Patient Image Sets from 6 Different Diabetic Eye Screening Programmes Analyzed Using EyeArt AI Eye Screening System

Eyenuk, Inc., a global artificial intelligence (AI) medical technology and services company and the leader in real-world applications for AI Eye Screening, announced that it has successfully fulfilled the contract awarded by Public Health England (PHE) to use Eyenuks EyeArt AI Eye Screening System to grade 60,000 patient image sets from 6 different National Health Service (NHS) Diabetic Eye Screening Programmes in England.

Diabetic retinopathy (DR) is a vision-threatening complication of diabetes and a leading cause of preventable vision loss globally.1 In England, an estimated 4.6 million are living with diabetes, one-third of whom are at risk of developing DR. Diabetes has become a growing health concern as the number of people diagnosed with diabetes in the U.K. has more than doubled in the last 20 years.2

The U.K. has been leading the world in diabetic retinopathy screening, achieving patient uptake rates of over 80% (screening nearly 2.5 million diabetes patients annually),3 as compared with most parts of the world where typically less than half of diabetes patients receive annual eye screening.4 As a result, diabetic retinopathy is no longer the leading cause of blindness in the working age group in England.5 However, the growing diabetes population poses significant challenges ahead.

Public Health England (PHE) is an executive agency of the Department of Health and Social Care (DH) that oversees the NHS national health screening programmes. An independent Health Technology Assessment from the Moorfields Eye Hospital to determine the screening performance and cost-effectiveness of multiple DR detection AI solutions was conducted and published in 2016.6 Subsequently, PHE initiated a tender process seeking to commission an automated retinal image grading software to grade 60,000 patient image sets from multiple diabetic eye screening programmes.

At the end of the competitive tender process, the contract was awarded to Eyenuk.7 The National Diabetic Eye Screening Programme (NDESP) identified 6 local diabetic eye screening (DES) programmes to participate in the project with Eyenuk. The project aim was to compare the number of image sets categorised as having no disease, as determined by human graders (manual programme grading), with the number as determined by the EyeArt AI eye screening system. Results from this latest real-world analysis, together with results from previous assessments have shown that the EyeArt system has excellent agreement and sensitivity and specificity for detecting diabetic retinopathy.

"Eyenuk was honored to have been awarded the PHE contract for diabetic retinopathy grading, and we are gratified that our EyeArt AI system delivered excellent results when compared with six DES programmes in England," said Kaushal Solanki, Ph.D., founder and CEO of Eyenuk. "We look forward to expanding our work in the U.K. with hope to support all diabetic eye screening programmes in the future."

The independent Health Technology Assessment (HTA) from Moorfields Eye Hospital involving more than 20,000 patients was conducted to determine the screening performance and cost-effectiveness of multiple automated retinal image analysis systems. This study demonstrated that the EyeArt AI System delivered much higher sensitivity (i.e., patient safety) for DR screening than other automated DR screening technologies investigated and that its use is cost-effective alternative to the current, purely manual grading approach. The HTA demonstrated that the EyeArt performance was not affected by ethnicity, gender, or camera type.

About the EyeArt AI Eye Screening System

The EyeArt AI Eye Screening System provides fully automated DR screening, including retinal imaging, DR grading on international standards and the option of immediate reporting, during a diabetic patients regular office visit. Once the patients fundus images have been captured and submitted to the EyeArt AI System, the DR screening results are available in a PDF report in less than 60 seconds.

The EyeArt AI System was developed with funding from the U.S. National Institutes of Health (NIH) and is validated by the U.K. National Health Service (NHS). The EyeArt AI System has CE marking as a class IIa medical device in the European Union and a Health Canada license. In the U.S., the EyeArt AI System is limited by federal law to investigational use. It is designed to be General Data Protection Regulation (GDPR) and Health Insurance Portability and Accountability Act of 1996 (HIPAA) compliant.

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VIDEO: Learn more about the EyeArt AI Eye Screening System for Diabetic Retinopathy

About Eyenuk, Inc.

Eyenuk, Inc. is a global artificial intelligence (AI) medical technology and services company and the leader in real-world AI Eye Screening for autonomous disease detection and AI Predictive Biomarkers for risk assessment and disease surveillance. Eyenuks first product, the EyeArt AI Eye Screening System, is the most extensively validated AI technology for autonomous detection of DR. Eyenuk is on a mission to screen every eye in the world to ensure timely diagnosis of life- and vision-threatening diseases, including diabetic retinopathy, glaucoma, age-related macular degeneration, stroke risk, cardiovascular risk and Alzheimers disease. Find Eyenuk online on its website, Twitter, Facebook, and LinkedIn.

http://www.eyenuk.com

1 https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4657234/ 2 https://www.diabetes.org.uk/about_us/news/diabetes-prevalence-statistics 3 https://www.gov.uk/government/publications/diabetic-eye-screening-2016-to-2017-data 4 K. Fitch, T. Weisman, T. Engel, A. Turpcu, H. Blumen, Y. Rajput, and P. Dave. Longitudinal commercial claims-based cost analysis of diabetic retinopathy screening patterns. Am Health Drug Benefits. 2015;8(6):300308.5 G. Liew, M. Michaelides, C. Bunce. A comparison of the causes of blindness certifications in England and Wales in working age adults (1664 years), 19992000 with 20092010. BMJ Open Bd. 4 (2014), Nr. 26 Adnan Tufail, Venediktos V Kapetanakis, Sebastian Salas-Vega, Catherine Egan, Caroline Rudisill, Christopher G Owen, Aaron Lee, et al. "An Observational Study to Assess If Automated Diabetic Retinopathy Image Assessment Software Can Replace One or More Steps of Manual Imaging Grading and to Determine Their Cost-Effectiveness." Health Technology Assessment 20, no. 92 (December 2016). https://doi.org/10.3310/hta20920 7 https://www.contractsfinder.service.gov.uk/Notice/13b069bd-97b4-40b6-ac66-337d1526d1e6

View source version on businesswire.com: https://www.businesswire.com/news/home/20200415005222/en/

Contacts

Frank Cheng, Chief Commercial Officerfrank.cheng@eyenuk.com +1 818 835 3585

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Eyenuk Successfully Fulfills Contract Awarded by Public Health England for Artificial Intelligence Grading of Retinal Images - Yahoo Finance