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#1 in Healthcare & Medicine

MedGemma

Google's medical AI model family: Med-Gemini, MedLM, MedGemma 1.5 (January 2026).

🏢 Google📅 Launched 2023

What is MedGemma

Google evolved Med-PaLM (launched 2023) into a full family: MedLM (on Vertex AI for Google Cloud US customers in GA allowlist, preview in other markets), Med-Gemini (state-of-the-art 91.1% MedQA, beats GPT-4 on 14 medical tasks across text/multimodal/long-context), MedGemma 1.5 (released January 2026) — open-source model freely available for research and commercial use that adds: 3D CT/MRI interpretation, whole-slide histopathology analysis, longitudinal chest X-ray comparison, EHR understanding, medical document understanding. Use case: chest X-ray AI for trusted testers. At HIMSS 2026 Google showed a shift from pilots to production-scale agentic AI in healthcare (CVS Health 'Health100' Gemini-backed, Humana Agent Assist rolled out to 20k advocates). Available via Vertex AI with enterprise custom pricing.

Who is it for

  • US enterprise health systems and payers
  • Medical AI researchers
  • Healthcare developers on Google Cloud

Pros and cons

Strengths

  • Med-Gemini beats GPT-4 on 14 medical tasks
  • Open-source MedGemma 1.5 for research
  • Coverage of 3D CT/MRI, histopathology, EHR
  • Production-scale agentic AI for CVS, Humana

Limitations

  • MedLM GA only US, preview elsewhere
  • Custom pricing not public (Vertex AI)
  • Not an end-user product: integration needed

Main features

🧬
Med-Gemini
Next-gen multimodal long-context model fine-tuned on medical data.
🩻
3D imaging
3D CT/MRI interpretation, whole-slide histopathology (MedGemma 1.5).
📂
EHR understanding
Understands longitudinal EHRs and medical documents.
☁️
Vertex AI
Enterprise deployment via Google Cloud with HIPAA compliance.

Pricing

Paid
fromCustom (Vertex AI)
Free trial available

Pricing may change. Check the official site for the latest.

See latest pricing

Our verdict

Top 3 in category

The academic state of the art in medical AI. Open-source MedGemma 1.5 is a game-changer for research. For production you need Vertex AI and enterprise budget.

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