Google's AMIE Just Ran a Doctor's Video Visit. Here's What Actually Happened.

Key points

• Google Research and Google DeepMind tested AMIE, a research medical AI, in real-time video consultations with simulated patients.
• AMIE is built on Google's Gemini model and Project Astra, using several AI programs working together to see, hear and reason.
• In a randomised study, clinical evaluators rated AMIE favourably against primary care physicians on history-taking, diagnosis, management and communication.
• Patient actors said they preferred the video experience over a text-only chat.
• Google says AMIE is still research and not ready for real clinical use.

A doctor's visit is not just a conversation. Your GP watches how you walk in, hears the crack in your voice, notices you wincing when you sit down. That visual and audio layer is exactly what most medical chatbots miss.

Google wants to close that gap. This week the company showed off AMIE running a real-time video consultation, a first for a medical AI system of this kind. AMIE is Google's research assistant for doctors, and it can now see and hear a patient during a live call.

What did Google actually build?

AMIE is a research AI that talks to patients over video, watches for visual cues, and works through possible diagnoses as the conversation unfolds. It is not a product you can book an appointment with.

Under the bonnet, AMIE runs on Gemini, Google's large language model, the software that also powers its consumer chatbot. It uses Project Astra, Google's system for handling live video and audio, and a multi-agent setup, meaning several specialised AI programs work together instead of one model doing everything.

In practice, that means AMIE can guide a patient through a virtual physical exam. Think: "Can you press here and tell me if it hurts?" or "Hold your hand up to the camera."

How did it perform against real doctors?

It held its own, at least in a lab setting. Google ran a randomised study with patient actors and a group of primary care physicians. Clinical evaluators then scored both sides.

AMIE was rated favourably on the things that matter in a GP visit:

Clinical skill	What it means
History-taking	Asking the right questions about symptoms
Diagnostic accuracy	Working out what is likely wrong
Management	Recommending sensible next steps
Communication	Explaining things clearly and kindly

Patient actors also said they preferred the video experience to text chat. That is a meaningful signal. A lot of telehealth today is still typing into a box.

Should patients get excited yet?

No, not for a real appointment. Google is clear that AMIE is a research system and more work is needed before it can be responsibly used in a clinic. The study used actors, not sick people. Simulated cases are cleaner than the messy reality of a Tuesday morning surgery.

There is also survivorship bias to watch for in AI medical demos. We see the impressive runs. We rarely see the transcripts where the model missed something a nurse would spot in ten seconds.

Still, this is a real step. Until now, most medical AI research has focused on text: symptom checkers, note summarisers, chat interfaces. Adding live vision and voice gets closer to how doctors actually work.

What does this mean for ordinary people?

In the short term: nothing changes. Your next GP appointment will still be with a human. If you use a symptom checker app, it is still a text tool with the usual caveats.

In the medium term, expect telehealth services to start experimenting with video-aware AI assistants, probably first as a helper for the doctor rather than a replacement. That could mean shorter waits, better triage, and an AI that has already asked the boring questions before your GP joins the call.

One honest takeaway: if you already use telehealth, keep doing what you do. Describe symptoms clearly, mention anything visible, and ask who or what is on the other end of the line. The answer to that last question is going to matter more every year.