AI alignment for healthcare
Our mission is to advance the safe, ethical, and impactful use of medical artificial intelligence to improve patient care, reduce healthcare disparities, and support the well-being of clinicians.
We are committed to fostering innovation in AI technology while prioritizing patient safety, data privacy, and equitable access to these transformative solutions.
Through research, education, collaboration, and advocacy, we aim to ensure that medical AI evolves as a trusted partner in healthcare, empowering professionals and enhancing outcomes for all.
Built on four pillars
Research
Pioneering studies that evaluate safety, efficacy, and alignment of medical AI systems.
Education
Equipping clinicians and technologists with knowledge to deploy AI responsibly.
Collaboration
Bringing together hospitals, academia, industry, and policymakers to shape the future.
Advocacy
Championing policies and standards that protect patients and promote equitable access.
Healthcare & Medical Index
Independent evaluation of frontier models across clinical knowledge, reasoning, non-hallucination, and agentic workflows. Higher is better.
| # | Model | Score | Cost/Task | Time/Task |
|---|
Incorporates 4 evaluations: AA-Omniscience, GDPval-AA v2, Humanity's Last Exam, τ³-Banking
Four dimensions of medical AI
Medical Knowledge
AA-Omniscience measures domain-specific knowledge across medicine, public health, and biomedical sciences.
Non-Hallucination
Testing factual reliability and resistance to generating false medical information.
Reasoning
GDPval-AA v2 evaluates complex clinical reasoning and diagnostic problem-solving.
Agentic Workflows
Humanity's Last Exam and τ³-Banking assess multi-step healthcare task completion.
Our Team
Led by experienced professionals in AI and healthcare, committed to transforming patient care through ethical innovation.
Elie Toubiana
CEO, ScribeMD.ai
An AI engineer and entrepreneur who is working on helping clinical practices and workflows through innovative tools and solutions. His developments have significantly impacted healthcare delivery, currently serving over 10,000 physicians worldwide, streamlining patient care and improving clinical outcomes.
Maxime Cohen
Scale AI Chair Professor at McGill University & Chief of AI Strategy of the CIUSSS West-Central Montreal
A distinguished leader in healthcare AI and academic research, Dr. Cohen brings extensive expertise in artificial intelligence applications in healthcare settings. His dual role at the Jewish General Hospital and McGill University bridges the gap between theoretical advancement and practical implementation of AI in healthcare.
Eddy Hage-Youssef
Research Assistant
Eddy is a 4th year Computer Science & Statistics student at McGill University. He conducts research on AI agents across various applications under the supervision of Professor Cohen, contributing to the institute's benchmarking and alignment initiatives.
Contact us
Join us in shaping the future of medical AI. Whether you're a researcher, clinician, policymaker, or innovator, we'd love to hear from you.