搜索医学 AI 论文与资源

Nature Medicine paper on Med-PaLM 2 and expert-level medical question answering with large language models.

Med-PaLM Multimodal evaluates a generalist biomedical AI system across medical question answering, imaging, report generation, and multimodal tasks.

系统综述与荟萃分析，评估临床医学中人类与大语言模型协作相对于人类单独工作流的表现，覆盖临床推理、文档和解释等任务；研究指出当前证据仍初步且具有情境依赖性，建议后续开展预注册、务实、多中心并嵌入真实工作流的临床研究。

Multimodal clinical data foundation and benchmark introduced at ICML 2025 for clinical foundation model research.

Benchmark for evaluating health AI model safety, helpfulness, and clinical-relevance judgments with physician-reviewed rubrics.

Medical LLM benchmark and leaderboard intended to broaden coverage beyond single medical QA datasets.

Deidentified EHR data for ICU and hospital patients at Beth Israel Deaconess Medical Center, distributed through PhysioNet with credentialed access.

Large publicly available 12-lead ECG waveform dataset with diagnostic labels, hosted on PhysioNet.

NIH Clinical Center chest X-ray dataset released for computer-aided detection and radiology machine learning research.

PhysioNet Challenge 2026 on detecting cognitive impairment from polysomnography and related clinical signals.

HL7 healthcare AI challenge focused on AI applications around health data interoperability and standards-based workflows.

Stanford Center for Artificial Intelligence in Medicine and Imaging course page covering AIMI short courses and programs.

MIT course materials for machine learning methods in healthcare and clinical data.