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.

Question Title

* 1. Please evaluate the session, on a scale of 1 (strongly disagree) to 4 (strongly agree).

	Strongly Disagree	Disagree	Agree	Strongly Agree
The stated learning objectives were clear and achieved	The stated learning objectives were clear and achieved Strongly Disagree	The stated learning objectives were clear and achieved Disagree	The stated learning objectives were clear and achieved Agree	The stated learning objectives were clear and achieved Strongly Agree
The workshop content was clear, precise and aligned with the learning objectives	The workshop content was clear, precise and aligned with the learning objectives Strongly Disagree	The workshop content was clear, precise and aligned with the learning objectives Disagree	The workshop content was clear, precise and aligned with the learning objectives Agree	The workshop content was clear, precise and aligned with the learning objectives Strongly Agree
Information was relevant to my practice	Information was relevant to my practice Strongly Disagree	Information was relevant to my practice Disagree	Information was relevant to my practice Agree	Information was relevant to my practice Strongly Agree
The amount of material covered was appropriate	The amount of material covered was appropriate Strongly Disagree	The amount of material covered was appropriate Disagree	The amount of material covered was appropriate Agree	The amount of material covered was appropriate Strongly Agree
There was sufficient opportunity for discussion and questions within the educational content	There was sufficient opportunity for discussion and questions within the educational content Strongly Disagree	There was sufficient opportunity for discussion and questions within the educational content Disagree	There was sufficient opportunity for discussion and questions within the educational content Agree	There was sufficient opportunity for discussion and questions within the educational content Strongly Agree

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* 2. Did you perceive any commercial or industry bias?

Yes

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* 3. If yes, please comment

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* 4. What part of the workshop did you find the most useful and/or interesting?

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* 5. What would you like to learn more about?

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* 6. Please provide any additional comments about any aspect of the workshop:

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* 7. For statistical purposes, please indicate your subspecialty or area of interest

Artificial Intelligence and Informatics (AI)

Breast Imaging (BR)

Cardiac Radiology (CA)

Chest Radiology (CH)

Computed Tomography (CT)

Emergency Radiology (ER)

Head and Neck (HN)

Health Policy and Practice (HP)

Interventional Radiology (IR)

Magnetic Resonance Imaging (MR)

Musculoskeletal (MK)

Neuroradiology (NR)

Nuclear Medicine (NM)

Obstetrics/Gynecology (OB)

Paediatric Radiology (PD)

Oncologic Imaging (OI)

Physics and Basic Science (PH)

Ultrasound (US)

Vascular Imaging (VA)

Other (please specify)

Enter the code below in the gamification area of the app for 250 points!
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