2026 AI Bootcamp
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Join us for our AI Bootcamp! Through the combination of on-demand coursework and live virtual discussions, you'll gain AI knowledge to lead your transplant programs to success.
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Contains 9 Component(s)
Unit I: Introduction to Healthcare Data & AI - Basics of Medical Data Management
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, PhD, MS 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 -
Contains 5 Component(s)
Unit II:
- How AI Interprets Healthcare Data: Varvara Kirchner, MD
- Basics of Machine Learning in Healthcare: Marc Melcher, MD, PhD
- AI Decision Support Systems: Kazunari Sasaki, MD
- Limitations of AI in Clinical Settings: Shaf Keshavjee, MD
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Contains 4 Component(s)
Unit III
Bias & Fairness in AI Predictions Mohammed Akhtar, MD, BCh, MB, FRCS
Ethical Challenges in AI-Driven Medicine Mark Stegall, MD
The Future of AI in Personalized Medicine Ali Zarrinpar, MD, PhD
How Physicians Can Collaborate with AI Paulo Martins, MD, PhD
Live Virtual Q&A Session (July 31 at 12PM ET)