Medicine Health
36 resources · page 1 of 2
Abridge
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Abridge: company building generative AI that drafts clinical documentation from doctor–patient conversations.
BrainGate
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BrainGate consortium site: clinical trials of brain-computer interfaces that decode neural signals to restore movement and speech.
CheXpert
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Stanford CheXpert page: large chest X-ray dataset with uncertainty labels and a competition for automated interpretation.
CMU Delphi Epidata
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CMU Delphi group: epidemiological forecasting research and the open Epidata API.
Coalition for Health AI (CHAI)
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Coalition for Health AI site with guidance, assurance standards and model-card templates for AI in healthcare.
CVMA policy on the use of AI in veterinary medicine
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Canadian Veterinary Medical Association policy on the use of AI in veterinary medicine.
DeepLabCut
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DeepLabCut GitHub repo: markerless pose estimation of animals and humans with deep learning.
DMIS lab (Korea Univ)
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Korea University DMIS Lab Hugging Face profile: biomedical models such as BioBERT.
DP Technology (深势科技)
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DP Technology site: Chinese AI-for-Science company behind the Bohrium platform and Uni-Lab.
European Journal of Therapeutics: authorship and AI
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European Journal of Therapeutics policy on authorship and use of AI tools.
Grand Challenge
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Grand Challenge platform hosting biomedical imaging challenges, datasets and algorithm submissions for evaluation.
ICMJE Recommendations 2026 Update: What Changed (CASRAI)
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CASRAI summary of the ICMJE January 2026 recommendations update, including AI use in manuscripts.
Jacaranda Health
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Jacaranda Health site: Kenyan non-profit using digital tools and AI to improve maternal and newborn care.
JPMA (Journal of the Pakistan Medical Association): AI policy for authors
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Journal of the Pakistan Medical Association policy on AI use for authors.
MDCG 2025-6: FAQ on interplay between MDR/IVDR and the AI Act
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MDCG 2025-6 FAQ on how the EU medical device regulations interact with the AI Act.
MedBench v4 (Chinese medical LLM/MLLM/agent benchmark)
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MedBench v4 paper: a benchmark for Chinese medical LLMs, multimodal models and agents across clinical tasks.
HELM (stanford-crfm/helm)
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Stanford CRFM HELM GitHub repo: open framework for holistic evaluation of language models, including MedHELM.
medspaCy
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medspaCy GitHub repo: spaCy-based tools for clinical natural language processing.
MONAI
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Project MONAI GitHub repo: PyTorch-based open-source toolkit for deep learning in healthcare imaging.
人工智能医疗器械注册审查指导原则 (CMDE 2022年第8号)
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CIRS page on NMPA/CMDE registration review guideline for AI medical devices (2022 No. 8).
nnU-Net
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nnU-Net GitHub repo (DKFZ): self-configuring semantic segmentation framework for medical images.
PhysioNet MIMIC-IV
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PhysioNet MIMIC-IV: de-identified health records of patients at Beth Israel Deaconess Medical Center for clinical ML research.
TxGNN
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Harvard TxGNN GitHub repo: graph model for zero-shot prediction of drug repurposing.
UNI (Mahmood Lab) pathology foundation model
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Mahmood Lab UNI GitHub repo: pathology foundation model (Nature Medicine) with weights and embeddings.
AASV abstract: AI and machine learning in veterinary medicine
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AASV abstract giving a regulatory perspective on AI and machine learning in veterinary medicine.
Cellpose
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Cellpose site: deep-learning tool for cell segmentation in microscopy images, with models and tutorials.
DeepChem
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DeepChem site: open-source library and tutorials for deep learning in chemistry, biology and materials science.
Google AMIE
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Google Research post on AMIE, a research AI system for diagnostic medical reasoning and patient conversations.
WHO: Ethics and governance of AI for health
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WHO guidance on ethics and governance of large multimodal models in health.
APA: Artificial intelligence and machine learning topic page
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American Psychological Association topic page on artificial intelligence and machine learning, including mental-health implications.
QuPath
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QuPath: open-source software for digital pathology and whole-slide image analysis with ML classifiers.
Chemprop
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Chemprop documentation: PyTorch framework for training message-passing neural networks for molecular property prediction.