All Medical AI Models
Explore Our Complete Collection
Discover 13+ specialized medical AI models for clinical diagnosis, medical imaging, biomedical research, and healthcare applications. Access world-leading AI through a unified API.
Text Analysis Models
Advanced language models specialized for medical text understanding, clinical reasoning, and biomedical literature analysis.
MedGemma
Google's medical-tuned Gemma model optimized for clinical reasoning and medical question answering with state-of-the-art performance.
Med-PaLM 2
Google's flagship medical AI achieving expert-level performance on medical licensing exams and clinical reasoning tasks.
BioGPT
Microsoft
Microsoft's domain-specific GPT model pre-trained on large-scale biomedical literature for text generation and mining.
PMC-LLaMA
Shanghai AI Lab
Open-source medical LLM fine-tuned on PubMed Central articles for biomedical knowledge and reasoning.
BioMedLM
Stanford
Stanford's biomedical language model trained on PubMed abstracts for specialized medical text understanding.
Clinical Camel
Open Source
An open-source clinical language model designed for clinical note understanding and medical dialogue.
Meditron
EPFL
EPFL's medical reasoning model with strong performance on clinical decision-making and medical knowledge tasks.
Baichuan-M3
Baichuan AI
World's #1 medical AI on HealthBench Hard (44.4) with 235B parameters, SPAR algorithm for clinical workflow, and industry's lowest 3.5% hallucination rate.
Vision Models
Medical imaging AI models for X-ray analysis, pathology, radiology, and visual diagnosis.
MedSigLIP
Google's medical image classification model using SigLIP architecture for pathology and radiology analysis.
CheXagent
Stanford
Stanford's specialized AI agent for chest X-ray interpretation with automated report generation.
BiomedCLIP
Microsoft
Microsoft's vision-language model for biomedical images, enabling zero-shot classification and retrieval.
Multimodal Models
Combined text and vision models that can process medical images alongside clinical notes and questions.
LLaVA-Med
Microsoft
Microsoft's multimodal medical AI combining visual understanding with language generation for comprehensive medical analysis.
Med-Flamingo
Stanford
Stanford's multimodal medical model based on Flamingo architecture for few-shot medical image understanding.
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