Skip to content

Predicting the Long-Term Strategic Application and Impact of Large-Language Models and Vision-Language Models

Embracing A New Era

SATURDAY, APRIL13, 2024
10:30 AM – 12:00 PM
Speakers: An Tang, Alexandre Cadrine-Chenevert, Mark Cicero & Jaron Chong

LEARNING OBJECTIVES

By the end of this session, participants should be better able to:
  • Analyze the ways large-language models and vision-language models could alter administrative and diagnostic processes in radiology.
  • Evaluate real-world experiences of deploying AI in radiology departments.
  • Develop strategies for AI education in radiology, concerning large-language models and vision-language models
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.)
Enter the code below in the gamification area of the app for 250 points!
AI131
Current Progress,
0 of 7 answered