Google / DeepMind · Healthcare
Med-PaLM 2
Google's medical large language model that achieves expert-level performance on medical licensing exam questions and clinical reasoning tasks.
Overview
Med-PaLM 2 builds on Google's PaLM 2 foundation model with specialized medical instruction tuning and alignment. It was the first AI system to reach expert-level performance on the U.S. Medical Licensing Examination (USMLE), scoring above 85%. The model incorporates ensemble refinement and chain-of-thought prompting strategies tailored for medical reasoning, making it a leading system for clinical question answering and medical consultation support.
Base Model
PaLM 2
USMLE Score
86.5% (expert level)
Training Approach
Instruction tuning + ensemble refinement
Availability
Limited access via Google Cloud
Modality
Text (multimodal variant available)
Capabilities
Medical question answering at expert level
Clinical reasoning and differential diagnosis
Medical exam preparation and assessment
Patient-friendly medical explanation generation
Multi-step medical reasoning with chain-of-thought
Medical literature synthesis
Use Cases
Supporting clinical decision-making with evidence-based answers
Generating patient education materials in plain language
Assisting medical students with exam preparation
Providing second opinions on complex diagnostic cases
Pros
- +Expert-level performance on medical licensing exams
- +Strong clinical reasoning with explainable chain-of-thought
- +Backed by Google/DeepMind's research infrastructure
- +Aligned to reduce harmful medical advice generation
Cons
- -Not publicly available; restricted access through Google Cloud
- -Closed-source with no ability to self-host
- -High cost for enterprise deployment
- -Not FDA-approved for direct clinical decision-making
Pricing
Available through Google Cloud with enterprise agreements. Pricing is custom and requires direct engagement with Google's healthcare AI team.