Trusted by students and physicians at
We turn dense trials into simple visuals and precise, high-yield summaries so you only see what truly matters for practice.


Meet Hippocrates — your built-in clinical reasoning partner.
Every question you answer instantly unlocks a guided breakdown that teaches how to think, not just what the right choice is.
Our AI walks you through:
Key clinical clues you should have noticed
How to eliminate wrong answers safely
Evidence-based reasoning using real treatment algorithms
Practical considerations like comorbidities, toxicity, and real-world decision-making
Create mnemonic tables, metaphors, and every tool that will help you understand this concept

Beyond the question bank, MeducationAI gives you a full suite of study tools designed for how clinicians actually learn.
Handouts
Quick-reference treatment guidelines for every major cancer type. Review staging, biomarkers, and treatment algorithms at a glance.
Learning Hub
Upload any PDF, guideline, or lecture and transform it into board-style questions, flashcards, and presentation-ready slides.
Notebook
Capture insights as you study. Build a personal knowledge library with mind maps, knowledge graphs, and AI-powered flashcards.
Podcast Station
Curated podcast episodes matched to learning objectives by practicing physicians. Take notes while listening.
Dashboard & Analytics
Track your strengths and weaknesses across the entire blueprint. Monitor study habits and see where to focus next.
Ask My Notes
Chat directly with your own notes. Find any detail instantly without scrolling through pages.
MeducationAI was founded by Dr. Roupen Odabashian, a hematology and medical oncology physician board certified by the American Board of Internal Medicine (ABIM) and the Royal College of Physicians and Surgeons of Canada (FRCPC), and a Fellow of the American Society of Clinical Oncology (FASCO). After sixteen years of writing medical exams across Canada and the United States, he built the platform he wished he had.
His training spans three countries: MD from Aleppo University, Internal Medicine residency at the University of Ottawa, Canada, and Hematology-Oncology fellowship at Karmanos Cancer Institute, Wayne State University, an NCI-designated cancer centre. He has published peer-reviewed research benchmarking large language models in oncology clinical reasoning, and is currently pursuing coursework in machine learning and artificial intelligence at Stanford University.
Read Our StoryOur background algorithms continuously monitor guideline changes and flag questions for physician review. When NCCN, ASCO, or ELN recommendations update, our content updates too, so you never study outdated material.
Blog Post
Apr 12, 2026
Creating an AI Policy for Your Medical Education Program: A Practical Template
By Dr. Roupen Odabashian MD, FRCPC, FASCO — Hematologist-Oncologist | Founder, MeducationAIPublished April 2026Summarize...
Read MoreBlog Post
Apr 12, 2026
AI in Hematology Oncology Fellowship Training: A Practical Framework for Program Directors
Written by Dr. Roupen Odabashian MD, FRCPC, FASCHematologist Oncologist | Founder, MeducationAI | Updated April 2026Summ...
Read MoreBlog Post
Apr 12, 2026
How to Build an AI Curriculum for Your Residency Program: A Step by Step Guide
How to Build an AI Curriculum for Your Residency Program: A Step by Step GuideBy Dr. Roupen Odabashian MD, FRCPC, FASC |...
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