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AI Update 2024: An Introduction to Large Language Models and Vision-Language Model

Embracing A New Era

SATURDAY, APRIL13, 2024
10:30 AM – 12:00 PM
Speaker: Jaron Chong

LEARNING OBJECTIVES

By the end of this session, participants should be better able to:
  • Differentiate the critical distinction between AI algorithm efficacy in controlled settings and effectiveness in diverse clinical environments
  • Explore methodologies for robust clinical validation of AI algorithms, including multicentric trials and real-world data analysis techniques.
  • Identify strategies for effective clinician-AI collaboration, emphasizing the importance of clinician involvement and transparent AI systems.
1.Please evaluate the session, on a scale of 1 (strongly disagree) to 4 (strongly agree).(Required.)
Strongly Disagree
Disagree
Agree
Strongly Agree
The stated learning objectives were clear and achieved
The workshop content was clear, precise and aligned with the learning objectives
Information was relevant to my practice
The amount of material covered was appropriate
There was sufficient opportunity for discussion and questions within the educational content
2.Did you perceive any commercial or industry bias?(Required.)
3.If yes, please comment
4.What part of the workshop did you find the most useful and/or interesting?(Required.)
5.What would you like to learn more about?(Required.)
6.Please provide any additional comments about any aspect of the workshop:
7.For statistical purposes, please indicate your subspecialty or area of interest(Required.)
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