Artificial Intelligence in Imaging Applications and Use Cases – Krishi Jagran

Artificial Intelligence in Imaging Applications and Use Cases

Artificial Intelligence is a massive innovation in all aspects of life. From self-driving cars to talking digital assistants, to robots that can walk, jump and catch things thrown at them. Medicine and in particular imaging are no different. It has now been five years from the infamous and silly statement radiologists will be obsolete in fiver years due to AI.

In actuality, radiologists are in far greater demand than they were fewer years ago. We will explore why AI has failed to meet some of those claims, understand how it works and how it learns. Once understand how it works and how it learns we are in a better position to look at selecting AI algorithms and integrating them into our own workflows.

The goal of AI really is to augment and improve our human resources, so that they can provide better and more efficient healthcare.

Explain some of the key terms and definitions used in AI

Understand the differences between machine learning and deep learning algorithms

Engage in substantive discussions with vendors when selecting AI regarding the training of the algorithm and potential biases Diagram and plan for AI integrations in your local enterprise imaging environment

Evaluate and articulate the cost/benefits of AI and prepare an ROI during the AI selection process

Event Name: Artificial Intelligence in Imaging Applications and Use CasesWebsite: https://acsmb.com/Date: 26 May 2022

ACS

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Artificial Intelligence in Imaging Applications and Use Cases - Krishi Jagran