AI Virtual Bootcamp

AI Virtual Bootcamps: Data Management & AI for Physicians

Live Sessions on July 17, 24, and 31 from 12:00 - 1:00 PM ET

This course introduces physicians to data management and how Artificial Intelligence (AI) can leverage medical data for better decision-making, patient care, and operational efficiency.

The ASTS AI Bootcamps are divided into three units. Each unit includes prerecorded presentations that will be posted on the ASTS Academic Universe. Attendees will have a week to view each unit's presentations at their own pace, followed by a 60-minute live moderated Q&A session to answer attendee questions and discuss important topics from the course presentations.

Live Q&A sessions will take place on Fridays, July 17, 24, and 31 from 12:00 - 1:00 PM ET

Who should attend: Physicians or transplant center administrators with limited AI experience.

Registration information coming soon!

CME details coming soon.

Questions? Contact Education@asts.org.

Program Agenda

Unit I: Introduction to Healthcare Data & AI - Basics of Medical Data Management

Session Type	Session Title	Invited Faculty
On demand prerecorded session	Opening Remarks and What is Healthcare Data Management (The Why in AI in transplant)?	Henry Randall, MD, MBA
On demand prerecorded session	The Role of Electronic Health Records (EHRs)	Lisa McElroy, MD
On demand prerecorded session	Structured vs. Unstructured Data in Medicine	David Axelrod, MD, MBA
On demand prerecorded session	Introduction to AI in Data Processing	Sunjae Bae, MD, PhD
On demand prerecorded session	Data Collection: Sources & Best Practices	Lisiane Pruinelli, MD
On demand prerecorded session	Data Privacy & Security (HIPAA, GDPR)	Michal Mankowski, PhD
On demand prerecorded session	Data Cleaning: Why Bad Data Leads to Bad AI	Timothy Pruett, MD
On demand prerecorded session	Basics of Data Storage & Retrieval in Healthcare	Juan Carlos Caicedo, MD
Live Virtual	Q&A Session (July 17 at 12PM ET)	All Unit I Session Speakers

Unit II: AI for Data Analysis & Decision-Making

Session Type	Session Title	Invited Faculty
On demand prerecorded session	How AI Interprets Healthcare Data	Varvara Kirchner, MD
On demand prerecorded session	Basics of Machine Learning in Healthcare	Marc Melcher, MD, PhD
On demand prerecorded session	AI Decision Support Systems	Kazunari Sasaki, MD
On demand prerecorded session	Limitations of AI in Clinical Settings	Shaf Keshavjee, MD
Live Virtual	Q&A Session (July 24 at 12PM ET)	All Unit II Session Speakers

Unit III: Ethical AI & Future Trends in Medical Data Management

Session Type	Session Title	Invited Faculty
On demand prerecorded session	Bias & Fairness in AI Predictions	Mohammed Akhtar, MD, BCh, MB, FRCS
On demand prerecorded session	Ethical Challenges in AI-Driven Medicine	Mark Stegall, MD
On demand prerecorded session	The Future of AI in Personalized Medicine	Ali Zarrinpar, MD, PhD
On demand prerecorded session	How Physicians Can Collaborate with AI	Paulo Martins, MD, PhD
Live Virtual	Q&A Session (July 31 at 12PM ET)	All Unit III Session Speakers