The best AI models for healthcare applications, ranked with a healthcare-specific composite score. Models are scored on reasoning (clinical decisions), structured JSON output (medical data), large context windows (patient records)和视觉能力。
182
Total Models
182
With Reasoning
103
With Vision
149
With JSON Mode
80
Open Source (HIPAA)
| # | Model | Score |
|---|---|---|
| 1 | GPT-5.4 ProOpenAI | 115 |
| 2 | GPT-5.4OpenAI | 115 |
| 3 | GPT-5.2 ProOpenAI | 114 |
| 4 | Claude Opus 4.6 (Fast)Anthropic | 113 |
| 5 | Claude Opus 4.6Anthropic | 113 |
| 6 | GPT-5.2-CodexOpenAI | 113 |
| 7 | GPT-5.2OpenAI | 113 |
| 8 | Grok 4.20xAI | 112 |
| 9 | GPT-5.3-CodexOpenAI | 112 |
| 10 | GPT-5 ProOpenAI | 112 |
| 11 | Gemini 3 Flash PreviewGoogle | 111 |
| 12 | Grok 4xAI | 111 |
| 13 | Grok 4.20 Multi-AgentxAI | 111 |
| 14 | GPT-5.1-Codex-MaxOpenAI | 111 |
| 15 | GPT-5 CodexOpenAI | 111 |
| 16 | GPT-5OpenAI | 111 |
| 17 | GPT-5.1OpenAI | 110 |
| 18 | GPT-5.1-CodexOpenAI | 110 |
| 19 | GPT-5.1-Codex-MiniOpenAI | 110 |
| 20 | o3 Deep ResearchOpenAI | 110 |
| 21 | o3 ProOpenAI | 110 |
| 22 | o3OpenAI | 110 |
| 23 | Claude Sonnet 4.6Anthropic | 108 |
| 24 | Claude Opus 4.5Anthropic | 108 |
| 25 | Gemini 2.5 ProGoogle | 107 |
| 26 | Gemini 2.5 Pro Preview 06-05Google | 107 |
| 27 | Gemini 2.5 Pro Preview 05-06Google | 107 |
| 28 | Claude Sonnet 4.5Anthropic | 105 |
| 29 | o4 Mini Deep ResearchOpenAI | 104 |
| 30 | o4 MiniOpenAI | 104 |
AI models with advanced reasoning can assist clinicians by analyzing symptoms, lab results, and patient history to suggest differential diagnoses and treatment options. Models with reasoning capabilities (+10 score bonus) excel at the multi-step logic required for clinical decision-making.
Structured JSON output is critical for integrating AI into electronic health records (EHR) and clinical workflows. Models with JSON mode (+5 score bonus) can generate structured clinical notes, extract ICD codes, and produce FHIR-compatible data for seamless system integration.
Vision-capable models (+3 score bonus) can interpret medical images including X-rays, CT scans, dermatological photos, and pathology slides. While not a replacement for specialized radiology AI, general-purpose vision models can assist with preliminary screening and image-based triage.
Healthcare data is subject to strict regulations like HIPAA, GDPR, and HITECH. Open-source models can be self-hosted on private infrastructure, ensuring patient data never leaves your network. Models with large context windows (+5 bonus for 128K+) can process entire patient records in a single request without external chunking services.
Dive deeper into specific capabilities or compare models on the full leaderboard.
AI模型协助鉴别诊断、医学文献回顾和临床决策支持，但它们不是FDA批准的诊断设备。应增强而非替代临床判断。始终由持证医疗专业人员验证输出。
大多数主要提供商提供具有业务合作伙伴协议(BAA)的HIPAA合规API层级。为最高合规性，在HIPAA合规基础设施上自托管开源模型。
推理对临床决策支持至关重要。视觉分析医学影像。大上下文处理患者病史和研究论文。网络搜索访问最新医学文献和药物相互作用。
AI自动化临床文档、总结患者病史、起草转诊信和处理预授权文书。流式传输支持就诊期间的实时文档记录，每天节省2-3小时。