LEADING AI IN MEDICINE
IMANA Fellowship Program
A year-long fellowship to prepare Muslim medical students, residents, fellows, and early-career physicians to understand, evaluate, and responsibly lead the use of artificial intelligence in medicine.
Shaping the Future of Healthcare Together
Artificial intelligence is transforming healthcare, creating new opportunities to improve patient care, advance medical research, and expand access to quality healthcare worldwide.
IMANA is proud to introduce Leading AI in Medicine, a year-long fellowship initiative across the United States and Canada designed to empower the next generation of Muslim physician leaders in this rapidly evolving field.
What the Fellowship Offers
Through this exciting initiative, 10 selected fellows will receive specialized training, expert mentorship, and hands-on experience applying AI to real-world healthcare challenges.
$10,000 Scholarship
for each selected fellow.
$500 Project Grant
to develop a practical AI-in-medicine initiative.
Expert Mentorship
From a physician experienced in clinical AI.
Monthly Virtual Sessions
From January through August 2027, covering AI applications, ethics, patient care, leadership, and global health.
National Summit in September 2027
Including funded travel to present fellowship projects.
No coding skills or prior AI experience are required.
We welcome applicants who are passionate about medicine, innovation, and improving patient care.
Meet the Fellowship Faculty
Dr. Nabile Safdar
Fellowship Faculty | Leading AI in Medicine
Dr. Nabile Safdar will serve as faculty for IMANA's Leading AI in Medicine Fellowship, supporting the program's mission to prepare the next generation of physician leaders to understand and responsibly apply artificial intelligence in healthcare.
Applications Are Now Open
Application Deadline
November 30, 2026, at 11:59 p.m. Eastern
Selection Decisions
By December 18, 2026
Join a New Generation of Physician Leaders
Working to harness the power of artificial intelligence to improve healthcare and serve communities in need.
FAQ
Who Can Apply?
The fellowship is open to Muslim medical students, residents, fellows and early-career physicians who:
- Are studying or training at a medical school or program in the United States or Canada
- If a resident, fellow or attending physician, graduated from a U.S. or Canadian medical school (MD or DO)
- If an attending physician, completed residency or fellowship on or after July 1, 2021
- Can attend the monthly virtual sessions from January through August 2027 and the national summit in September 2027
No coding skills or prior AI experience are required. We welcome applicants from every specialty and career stage who want to help shape how AI is used in medicine.
What Do I need to Apply?
Please have these ready before you begin. You can save your application and return to finish it later.
- Your CV (PDF, 3 pages or fewer)
- A one-page letter of support from a faculty member, supervisor or mentor who knows your work
- Residents and fellows: a short signed note from your program director confirming your program supports your participation
- Medical students: an unofficial transcript
- Answers to four short essay questions (up to 250 words each) about your interest in AI, a capstone project idea, your leadership experience, and the risks AI poses for patients
How are Fellows Selected?
A selection committee reviews every application. We look for a strong capstone idea, leadership potential, and a clear commitment to AI in medicine. Financial need is also part of selection: the application asks about household income and educational debt, and this information is reviewed separately by IMANA staff, not by the committee reading your essays.
What is the Time Commitment?
Each month from January through August 2027, fellows attend a one-hour virtual session and complete 20–30 minutes of reading or video beforehand. Fellows also meet with their mentor, complete a capstone project by August 31, 2027, and present it at the national summit in September 2027. Summit travel is funded.