Difference between revisions of "SOCR Events MWACD BRCF 2023"
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* [https://www.socr.umich.edu/people/dinov/ Ivo D. Dinov], SOCR, University of Michigan, [https://www.socr.umich.edu/people/dinov/bio.html short bio]. | * [https://www.socr.umich.edu/people/dinov/ Ivo D. Dinov], SOCR, University of Michigan, [https://www.socr.umich.edu/people/dinov/bio.html short bio]. | ||
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| + | ==Resources== | ||
| + | * [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]] | ||
| + | * [https://www.socr.umich.edu/html/SOCR_UserGoogleMap.html SOCR Global Users] | ||
| + | * [https://socr.umich.edu/html/Navigators.html SOCR Navigators] | ||
| + | * [[SOCR_Data | SOCR Datasets and Challenging Case-studies]] | ||
| + | * [[SOCR_Books|Electronic Textbooks]]: | ||
| + | ** [https://tciu.predictive.space/ Data Science - Time Complexity, Inferential Uncertainty and Spacekime Analytics Book] | ||
| + | ** [[EBook| Probability and Statistics EBook]] | ||
| + | ** [[SMHS | Scientific Methods for Health Sciences]] | ||
| + | ** [https://dspa.predictive.space Data Science and Predictive Analytics] | ||
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<hr> | <hr> | ||
Latest revision as of 11:59, 26 September 2023
Contents
SOCR News & Events: AI in Biomedicine & Health – Research Promises, Education Perils & Clinical Practice Impact
Logistics
- Conference: 2023 Annual Meeting of the Midwest Association of Core Directors (MWACD), a chapter of the international Association of Biomolecular Resource Facilities (ABRF).
- Date/Time: Monday, 10/16/23, 4:00 PM US ET
- Place: NCRC Building 18 (Dining Hall), North Campus Research Complex (NCRC), Building 18, 2800 Plymouth Road, Ann Arbor, MI.
- Register to participate: MWACD 2023 registration.
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.
Speaker
- Ivo D. Dinov, SOCR, University of Michigan, short bio.
Resources
- Presentation slidedeck
- SOCR News & Events
- SOCR Global Users
- SOCR Navigators
- SOCR Datasets and Challenging Case-studies
- Electronic Textbooks:
- SOCR Home page: https://www.socr.umich.edu
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