搜索医学 AI 论文与资源

Prov-GigaPath is a pathology foundation model trained on real-world whole-slide images and released with a Nature paper and project resources.

NEJM AI 论文，报道基于超过 1000 万条 ECG 记录构建的心电图基础模型。

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

Interactive medical image segmentation benchmark and baseline from CVPR 2025, covering multiple modalities, organs, and target structures.

Foundation model and toolkit for all-in-one biomedical image parsing across recognition, detection, and segmentation tasks.

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

JPG-formatted chest radiographs with labels derived from free-text reports, hosted by PhysioNet.

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

Legacy multi-task biomedical image segmentation benchmark retained as a reference; newer segmentation benchmarks are listed above it.

Low-dose CT imaging collection from the National Lung Screening Trial, distributed by The Cancer Imaging Archive.

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

RSNA announced a 2026 AI challenge focused on accelerating knee MRI examinations and reconstruction quality.

DeepLearning.AI specialization on diagnosis, prognosis, and treatment using medical AI workflows.

RSNA certificate program for radiology professionals applying AI in medical imaging practice.