Clinical Evaluation of AI Algorithm: bridging the gap between efficacy and effectiveness

Embracing A New Era

SATURDAY, APRIL13, 2024
10:30 AM – 12:00 PM
Speaker: Guillaume Herpe

LEARNING OBJECTIVES

By the end of this session, participants should be better able to:
  • Analyze the differential performance of AI algorithms between controlled settings and varied clinical environments, focusing on measurable outcomes.
  • Evaluate the processes for clinical validation of AI algorithms through multicentric trials and analysis of real-world data, aiming for methodological rigor.
  • Identify and implement strategies for enhancing the synergy between clinicians and AI technologies, with an emphasis on the roles of clinician engagement and the transparency of 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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