Toward a test of medical AI superintelligence

Ethan Goh; David Wu; Chase Walton; Liam McCoy; Anastasia Perez; Laura Wegner; Fateme Nateghi Haredasht; Luyang Luo; Kathleen Lacar; Thomas Buckley; Austin Schoeffler; Peter Brodeur; Kameron C. Black; John Havlik; Yun Liu; Cameron Chen; Mike Schaekermann; John Rumsfeld; Daniel Lopez-martinez; Paxton Maeder-York; Karan Singhal; David Gunning; Bon Ku; Haider Warraich; Shantanu Nundy; Vishnu Ravi; Arnold Milstein; Jason Hom; Kevin Schulman; Pranav Rajpurkar; Arjun Manrai; Robert Wachter, MD; Eric Topol; Eric horvitz; Adam Rodman; Jonathan Chen

Toward a test of medical AI superintelligence

Ethan Goh

David Wu

Chase Walton

Liam McCoy

Anastasia Perez

Laura Wegner

Fateme Nateghi Haredasht

Luyang Luo

Kathleen Lacar

Thomas Buckley

Austin Schoeffler

Peter Brodeur

Kameron C. Black

John Havlik

Yun Liu

Cameron Chen

Mike Schaekermann

John Rumsfeld

Daniel Lopez-martinez

Paxton Maeder-York

Karan Singhal

David Gunning

Bon Ku

Haider Warraich

Shantanu Nundy

Vishnu Ravi

Arnold Milstein

Jason Hom

Kevin Schulman

Pranav Rajpurkar

Arjun Manrai

Robert Wachter, MD

Eric Topol

Eric horvitz

Adam Rodman

Jonathan Chen

Nature Medicine (2026)

Download Google Scholar

Abstract

Researchers urgently need a rigorous, task-based framework to define and measure medical AI ‘superintelligence’, because existing benchmarks are misleading and insufficient.

Research Areas

Machine intelligence

Explore our many areas of focus

Building a collaborative ecosystem

Shaping the future together

Translating discovery into real-world impact

Toward a test of medical AI superintelligence

Abstract

Research Areas

Meet the teams driving innovation

Google AI

Google Cloud

Google DeepMind

Google Labs