Clinical AI education built for practice.

AI2Practice is a free, open course that connects the foundations of artificial intelligence with clinical evaluation, implementation, research and teaching in radiology.

An initiative of the AAR / RRA Committee on Data Science & AI

Co-Leads

AI2Practice is co-led by Shinjer Li and Florence Doo, with contributors from radiology, imaging informatics, AI, education and clinical practice.

Shinjer Li
Co-Lead, AI2Practice

Shinjer Li

Eastern Virginia Medical School at Old Dominion University

Medical Student Lead*
Florence Doo
Co-Lead, AI2Practice

Florence Doo, MD, MA, CIIP

University of Maryland Institute for Health Computing

Committee Chair*

Contributors

Program leadsTrainee, AI and international leads

Raisa Amiruddin
Resident Lead*

Raisa Amiruddin, MBBS

MetroWest Medical Center, Massachusetts

Peter Chang
AI Innovation Lead*

Peter Chang, MD

University of California, Irvine

Michail Klontzas
International Lead*

Michail Klontzas, MD, PhD

University of Crete School of Medicine

LiaisonsLinks to partner societies and funders

Lars Grimm
RAHSR Liaison*

Lars Grimm, MD, MHS

Duke University

Marta Heilbrun
Inter-Society Liaison (RSNA)*

Marta Heilbrun, MD

Intermountain Health

Elizabeth Krupinski
Inter-Society Liaison (SIIM)*

Elizabeth Krupinski, PhD

Emory University

Senior advisorsGuidance and review

Katherine Andriole
Senior AI Academic Leader*

Katherine Andriole, PhD

UCLA David Geffen School of Medicine

Nadja Kadom
RRA Leadership (Guest)*

Nadja Kadom, MD

Emory University / Children's Healthcare of Atlanta

*Role on the AAR / RRA Committee on Data Science & AI.