Difference between revisions of "SOCR Events MWACD BRCF 2023"

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==Resources==
 
==Resources==
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* [https://wiki.socr.umich.edu/images/4/44/Dinov_MWACD_ABRF_Lecture_AI_in_Health_Oct_2023_Slidedeck.pdf Presentation slidedeck]
 
* [[SOCR_News | SOCR News & Events]]
 
* [[SOCR_News | SOCR News & Events]]
 
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* [https://www.socr.umich.edu/html/SOCR_UserGoogleMap.html SOCR Global Users]

Latest revision as of 11:59, 26 September 2023

SOCR News & Events: AI in Biomedicine & Health – Research Promises, Education Perils & Clinical Practice Impact

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Title

AI in Biomedicine & Health – Research Promises, Education Perils & Clinical Practice Impact

Abstract

This presentation will outline some personal views of the history, status-quo, future promises, and potential perils of artificial intelligence (AI) in biomedical R&D, health science education, and implications on clinical practice over the next decade. Collective understanding of these challenges and opportunities is important to prevent a widening AI-divide and promote meaningful augmented intelligence (integrating human and machine intelligence) in all aspects of healthcare, from education and training to basic science advances, resource management, administrative processes, equitable healthcare distribution, and impactful clinical practice.
AI-literacy and preparedness of the healthcare workforce require adequate knowledge, skills, competencies, and advanced infrastructure to tackle complex biomedical problems, untangle “reality and hype”, understand “theory and practice”, differentiate “perception and knowledge”, and recognize “accessibility problems”, e.g., haves and have-nots. The academic community is uniquely positioned to respond to this demand. However, expectations of an exclusive, perfect, optimal, global, and stable solution may be unrealistic. Three specific live demos will be shown that illustrate the power of AI to enhance human abilities – simulate realistic free text, synthetically generate brain images, and human-language to computer program creation. The technology is already in place. What is uncertain is how to pragmatically utilize it in educational settings, R&D scholarship activities, translational science discoveries, and clinical practice improvements.

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