Google Research and Google DeepMind have demonstrated their AMIE medical AI system conducting real-time clinical video consultations, in what the companies describe as a first-of-its-kind demonstration of expert-level AI capability in this setting, according to a blog post published 11 August 2026.

Built on Gemini and Project Astra using a multi-agent architecture, AMIE can now interpret visual and auditory cues, guide virtual physical examinations, and reason diagnostically in real time, extending beyond the text-based consultation format the research system previously operated in.

In a randomised study using simulated consultations with patient actors and a group of primary care physicians, clinical evaluators rated AMIE favourably on core competencies including history-taking thoroughness, diagnostic accuracy, management appropriateness and communication quality. Patient actors also said they preferred the video-based format over text chat.

Google was clear that AMIE remains a research system, and that further research is needed before it could be considered for responsible real-world clinical deployment. Further technical detail is available on the Google Research blog.


AI Contracts Decoded: What Fortune 500 Legal Veterans Know That You Don’t
When Microsoft refuses to negotiate indemnification with their biggest customers, what does that mean for your AI vendor contracts? When IBM data shows 97% of AI breaches stem from compliance failures—most being supply chain-related—who holds liability? When employees download shadow AI tools with zero cybersecurity controls, what recourse does your company have? None. Cathy Mulrow-Peattie brings perspective most outside counsel lack: Fortune 500 in-house experience at MasterCard and Omnicom, General Counsel at an AI startup, now advising enterprises. She starts with business goals before technology, technology before contracts—because she’s been in the hot seat when governance fails. You’ll learn: • Why 10-year AI contracts create risk and 90-day pilots with exit strategies are essential • The IP paradox: machine-generated outputs aren’t copyrightable but terms of use matter • How LLM providers retain “certain uses” of your data and when private instances become mandatory • Why contractual risk allocation to key vendors is your only viable strategy Key topics: Supply chain due diligence • The 97% compliance failure rate • Shadow AI liability traps • Benchmarking gaps • Hallucination disclaimers • GDPR/CCPA requirements • NY DFS Part 500 • Acceptable use policies • Dark web data sourcing • Evolutionary AI governance For: CISOs, CIOs, Chief Legal Officers, and compliance leaders navigating AI vendor relationships Contractual realities from someone who’s negotiated with Microsoft, advised Fortune 500s, and managed governance failures.
Share this post
The link has been copied!