AMIEA multimodal AI diagnostic agent that conducts clinical conversations and interprets medical images for accurate diagnoses.

4.7 (6)

Reviewed by Daniel Nikulshyn·Updated July 2026

Healthcare Multimodal AI Diagnostics Conversational AI Medical Imaging Research Clinical AI

Overview

AMIE (Articulate Medical Intelligence Explorer) is a research AI diagnostic agent developed by Google DeepMind and Google Research. It is designed to conduct clinical conversations and interpret medical images for accurate diagnoses. Initially, AMIE was a text-based medical diagnostic conversational AI agent published in Nature. The latest advancement, multimodal AMIE, integrates the ability to intelligently request, interpret, and reason about visual medical information during clinical conversations. This development aims to improve diagnostic accuracy by incorporating multimodal data, such as images and documents, into the diagnostic process. AMIE uses a state-aware reasoning framework and is built on multimodal Gemini models. It has been evaluated through expert assessments, including Objective Structured Clinical Examinations (OSCEs), comparing its performance to primary care physicians (PCPs) in various patient scenarios.

Key features

Multimodal diagnostic dialogue
Visual medical information interpretation
State-aware reasoning framework
Integration with Gemini models
Simulation environment for dialogue evaluation

Pricing

Model: Free
Category: Research AI Agents
Rating: 4.7 / 5 (6)

Use cases

AI-Assisted Clinical Consultations

Conducts structured patient conversations to gather symptoms and history, helping clinicians arrive at differential diagnoses more efficiently.

Medical Image Interpretation

Analyzes medical images alongside patient dialogue to support diagnostic reasoning across multimodal clinical inputs.

Diagnostic Decision Support

Assists healthcare professionals by suggesting possible diagnoses based on combined conversational and visual medical data.

Medical Education and Training

Serves as a simulated diagnostic agent for training medical students and residents in clinical reasoning and image-based assessment.

Pros & Cons

Pros

Conducts diagnostic clinical conversations that incorporate multimodal data
Intelligently requests, interprets, and reasons about visual medical information
Emulates the structured yet flexible path of real clinical diagnostic dialogues
Shows promise for improving diagnostic accuracy

Cons

Still in the research phase
Limited information on its real-world application and effectiveness

Reviews

4.7

Average from 6 ratings.

Olga Ivanova

Apr 12, 2026

Compared a few options

Evaluated this against two competitors. Where it wins: the core workflow and the value for money is strong. Where it lags: a few rough edges remain. On balance the feature set — especially the integrations — justifies the 4 stars for our use case.

Carlos Mendoza

Mar 30, 2026

Use it every day

Honestly didn't expect to like it this much. The onboarding is exactly what I needed, and it is genuinely easy to set up. but I reach for it almost every day now and it just clicks.

Hiroshi Tanaka

Mar 16, 2026

Compared a few options

Evaluated this against two competitors. Where it wins: the API and it is genuinely easy to set up. Where it lags: a few rough edges remain. On balance the feature set — especially the dashboard — justifies the 5 stars for our use case.

Ahmed Saleh

Mar 1, 2026

Skeptical, then convinced

I went in skeptical — most tools in this space overpromise. It actually delivers on the automation, and it saves real time caught me off guard. Pricing gets steep at scale is why this isn't a perfect score, still, I'd recommend giving it a real trial.

Diego Fernández

Jul 30, 2025

Compared a few options

Evaluated this against two competitors. Where it wins: the integrations and the value for money is strong. Where it lags: pricing gets steep at scale. On balance the feature set — especially the onboarding — justifies the 4 stars for our use case.

Grace Okafor

Jul 26, 2025

Use it every day

Honestly didn't expect to like it this much. The integrations is exactly what I needed, and support is responsive. but I reach for it almost every day now and it just clicks.

Q&A

What is AMIE designed to do?

AMIE is a multimodal AI diagnostic agent that conducts clinical conversations with patients or clinicians and interprets medical images to support accurate diagnoses.

Is AMIE suitable for use in real clinical practice?

AMIE is positioned as a diagnostic AI agent, but specific details on clinical validation, regulatory approval, deployment availability, or pricing have not been provided here. Prospective users should verify these directly with the vendor before clinical use.

What types of inputs can AMIE handle?

AMIE supports multimodal inputs, combining natural-language clinical dialogue with medical image interpretation to inform its diagnostic reasoning.

Ask a question

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