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Yesterday, Google released the full results of its Articulate Medical Intelligence Explorer (AMIE) study, which tested whether LLMs could support diagnostic interviews under asynchronous physician oversight. The findings were impressive. AMIE outperformed both early-career physicians and experienced nurse practitioners across a range of simulated primary care scenarios. It produced more accurate differential diagnoses, more appropriate clinical management plans, and patient messages rated higher than those written by humans. Most importantly, oversight physicians consistently preferred reviewing AMIE-generated cases, and composite quality scores were highest for the AI-assisted workflow across all groups. ‍ What these results show is that with the right context engineering, LLMs can already serve as powerful physician augmentation tools. At Counsel, that finding feels deeply validating because it mirrors what we’re already seeing. ‍ For the past two years, we’ve been building what Goog

Google’s AMIE Validates The Clinician Cockpit | Counsel Health Blog > Research > Clinician Cockpit: How Google’s AMIE experiments validate Counsel’s approach Clinician Cockpit: How Google’s AMIE experiments validate Counsel’s approach Research Clinician Cockpit: How Google’s AMIE experiments validate Counsel’s approach Written by: Tony Sun Reviewed by: Dr. Muthu Alagappan Published: Jul 25, 2025 Updated on: January 20, 2026 copied Table of contents Table of Contents The modern front door to healthcare is just one click away Request a demo KEY TAKEAWAYs In January 2024, Google released the full

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