Initiative of Eleos Impact Association, Recognized by AAMC
Make AI Research in Medicine Available
A searchable database of summarized AI-driven medical research, organized by specialty. Helping physicians, researchers, and students stay updated with the latest advancements.
The Largest Hub of AI-Driven Medical Insights
AI in Medicine (AIIM) is on a mission to integrate AI into healthcare. Our growing database of AI-driven medical research, categorized by specialty, empowers physicians, researchers, and students with easy access to the latest advancements. Together, we’re shaping the future of medicine through innovation and accessibility.
About UsBenefits
AIIM empowers everyone with accessible AI knowledge.
Curated Research
High-impact AI medical studies, summarized and organized by specialty for quick, reliable access.
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AI and Technology
Stay updated on the latest AI innovations—machine learning, NLP, imaging, and more—shaping the future of medicine.
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Centralized Platform
One searchable hub where physicians, researchers, and students can find relevant AI advancements with ease.
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Research Backed by Experts Across Institutions
Summaries written and reviewed by a multidisciplinary team
Coverage of high-impact journals across specialties
Trusted by physicians, researchers, and students








Categories
Our Core Research Areas
We highlight the fields where AI is making the biggest impact in medicine, with concise, accessible summaries.
Orthopedics
Dermatology
Neurotechnology
Advantages
Over 500 Summaries and Counting
Our team of physicians, researchers, and students is dedicated to making AI in medicine accessible. With a growing database, strong academic partnerships, and recognition from the AAMC, AIIM is shaping the future of medical research.

500+
Research Summaries
100+
Researchers Worldwide

Recent Summaries
All SummariesWritten by Mattie Salim, Fredrik Strand
AI-Based Selection of Individuals for Supplemental MRI in Population-Based Breast Cancer Screening: The Randomized ScreenTrustMRI Trial
Oncology, MRI, Early Detection
Written by Liam G. McCoy, Arjun K. Manrai, Adam Rodman
Large Language Models and the Degradation of the Medical Record
LLM, EHR
