A comprehensive, auto-updating collection of cutting-edge AI research papers in medicine and healthcare, updated daily via GitHub Actions.
| Date | Title | Venue/Org | Code |
|---|---|---|---|
| 2024-01-13 | EHRAgent: Code Empowers Large Language Models for Complex Tabular Reasoning on E | Ohio State University | EhrAgent |
| 2022-12-01 | FHIR-based clinical data repository for machine learning: Implementation and eva | Mayo Clinic | - |
| 2022-01-27 | Clinical-Longformer and Clinical-BigBird: Transformers for long clinical sequenc | Allen Institute for AI | Code |
| 2020-04-28 | BEHRT: Transformer for Electronic Health Records | University of Oxford | BEHRT |
| 2019-04-10 | ClinicalBERT: Modeling Clinical Notes and Predicting Hospital Readmission | MIT | clinicalBERT |
| 2018-05-08 | Scalable and accurate deep learning with electronic health records | Google Research | - |
| 2016-05-24 | MIMIC-III, a freely accessible critical care database | MIT | - |
| Date | Title | Venue/Org | Code |
|---|---|---|---|
| 2025-05-12 | The promise and perils of AI in medicine | Stanford University | - |
| 2025-05-10 | Integrating Explainable AI in Medical Devices: Technical, Clinical and Regulator | UK Medicine and Healthcar | - |
| 2024-03-11 | Constitutional AI for Safe Medical Large Language Models | Stanford University | - |
| 2024-02-28 | Evaluating and Mitigating Discrimination in Language Model Decisions | Anthropic | - |
| 2021-12-08 | Ethical and social risks of harm from Language Models | DeepMind | - |
| 2021-10-27 | The false hope of current approaches to explainable artificial intelligence in h | University of Toronto | - |
| 2021-08-16 | On the Opportunities and Risks of Foundation Models | Stanford University | - |
| 2020-09-09 | Guidelines for clinical trial protocols for interventions involving artificial i | Stanford University | - |
| 2019-10-25 | Dissecting racial bias in an algorithm used to manage the health of populations | UC Berkeley | - |
| 2018-12-04 | Ensuring fairness in machine learning to advance health equity | Harvard Medical School | - |
| Date | Title | Venue/Org | Code |
|---|---|---|---|
| 2024-11-30 | RaDialog: A Large Vision-Language Model for Radiology Report Generation and Conv | Shanghai AI Laboratory | - |
| 2024-08-04 | RadFM: A 3D Radiology Foundation Model | Shanghai Jiao Tong Univer | - |
| 2024-01-22 | CheXagent: Towards a Foundation Model for Chest X-Ray Interpretation | Stanford University | CheXagent |
| 2022-11-23 | RoentGen: Vision-Language Foundation Model for Chest X-ray Generation | Stanford University | - |
| 2022-09-15 | Expert-level detection of pathologies from unannotated chest X-ray images via se | Stanford University | CheXzero |
| 2022-07-26 | RadImageNet: An Open Radiologic Deep Learning Research Dataset for Effective Tra | UCSF | - |
| 2019-01-21 | MIMIC-CXR: A large publicly available database of labeled chest radiographs | MIT | - |
| 2018-11-20 | Deep learning for chest radiograph diagnosis: A retrospective comparison of the | Stanford University | - |
| 2017-11-14 | CheXNet: Radiologist-Level Pneumonia Detection on Chest X-Rays with Deep Learnin | Stanford University | CheXNet |
| Date | Title | Venue/Org | Code |
|---|---|---|---|
| 2025-08-20 | Detecting and Explaining Postpartum Depression in Real-Time with Generative Arti | University of Vigo | - |
| 2024-09-24 | MentaLLaMA: Interpretable Mental Health Analysis on Social Media with Large Lang | George Mason University | MentaLLaMA |
| 2024-07-22 | PsyLLM: Scaling up Global Mental Health Psychological Services with AI-based Lar | Tsinghua University | - |
| 2022-05-20 | Digital phenotyping and mobile sensing in mental health | Harvard Medical School | - |
| 2022-04-08 | Natural Language Processing Applied to Mental Illness Detection: A Narrative Rev | University of Toronto | - |
| 2020-12-01 | Machine learning in mental health: A systematic review | King's College London | - |
| 2020-08-25 | Artificial Intelligence in Mental Health and the Biases of Language Based Models | University of Washington | - |
| 2017-06-06 | The effectiveness of using a chatbot to provide mental health support: A systema | Stanford University | - |
| Date | Title | Venue/Org | Code |
|---|---|---|---|
| 2023-04-06 | Synthetic Data Generation for Healthcare | MIT | - |
| 2023-04-04 | Diffusion Models for Medical Image Synthesis | Stanford University | - |
| 2022-06-13 | SyntheX: Scaling Up Learning-based X-ray Image Analysis Through In Silico Experi | Johns Hopkins University | - |
| 2022-10-24 | Privacy-preserving synthetic health data | University of Toronto | - |
| 2021-06-15 | Synthetic data in machine learning for medicine and healthcare | ETH Zurich | - |
| 2021-05-11 | GANs for medical image synthesis: An empirical study | King's College London | - |
| Date | Title | Venue/Org | Code |
|---|---|---|---|
| 2024-05-01 | Forecasting Future World Health Reports with Large Language Models | WHO Collaborating Centre | - |
| 2024-02-21 | LLMs for Epidemic Intelligence: A Survey | Georgia Tech | - |
| 2023-10-11 | Deep learning for viral mutation prediction | Harvard Medical School | - |
| 2023-01-21 | Language models can predict public health trends | Harvard T.H. Chan School | - |
| 2022-06-20 | Using social media and internet search data for public health surveillance | Boston Children's Hospita | - |
| 2021-06-02 | COVID-19 detection from chest X-ray images using deep learning | University of Waterloo | COVID-Net |
| Date | Title | Venue/Org | Code |
|---|---|---|---|
| 2025-01-09 | Privacy-preserving federated learning for collaborative medical data mining in m | Stanford University | - |
| 2022-02-01 | Federated learning and differential privacy for medical image analysis | University of Pennsylvani | - |
| 2021-10-06 | Truly privacy-preserving federated analytics for precision medicine with multipa | EPFL | - |
| 2021-09-15 | Federated learning for predicting clinical outcomes in patients with COVID-19 | Mass General Brigham | - |
| 2021-05-26 | Swarm Learning for decentralized and confidential clinical machine learning | University of Warwick | - |
| 2020-05-11 | A federated learning framework for healthcare IoT devices | MIT | - |
| Date | Title | Venue/Org | Code |
|---|---|---|---|
| 2022-04-22 | Machine learning for healthcare wearable devices: The big picture | University of Edinburgh | - |
| 2021-01-07 | Wearable sensor data and self-reported symptoms for COVID-19 detection | Scripps Research | - |
| 2019-11-14 | Large-scale assessment of a smartwatch to identify atrial fibrillation | Stanford University | - |
- Total Papers: 141
- Papers with Code: 57
- Last Updated: 2025-09-02
- 2025: 8 papers
- 2024: 32 papers
- 2023: 25 papers
- 2022: 24 papers
- 2021: 18 papers
- 2020: 11 papers
- 2019: 8 papers
- 2018: 6 papers
- 2017: 5 papers
- 2016: 2 papers
- 2015: 1 papers
- 2012: 1 papers
- Stanford University: 23 papers
- Google Research: 12 papers
- Microsoft Research: 8 papers
- MIT: 8 papers
- Meta AI: 6 papers
- Google DeepMind: 5 papers
- University of Toronto: 5 papers
- DeepMind: 5 papers
- University of Washington: 3 papers
- Harvard Medical School: 3 papers
- π¬ Foundation Models: 19 papers
- π₯ Clinical LLMs & Decision Support: 16 papers
- π©Ί Medical Imaging & Vision: 14 papers
- π Drug Discovery & Development: 13 papers
- 𧬠Genomics & Precision Medicine: 13 papers
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This repository updates automatically every day at 00:00 UTC through GitHub Actions:
- APIs: ArXiv, PubMed, MedRxiv, BioRxiv, Semantic Scholar
- Institutional: Google Scholar, Microsoft Academic, Clinical Trials
- Industry: Company research blogs, GitHub releases
- RAG Systems: LangChain, LlamaIndex, Haystack, vector databases (Pinecone, Weaviate, Chroma)
- AI Agents: AutoGPT, BabyAGI, SuperAGI, CrewAI, Microsoft AutoGen
- Model Frameworks: Hugging Face, OpenAI API, Anthropic Claude, Google Vertex AI
- Fine-tuning: LoRA, QLoRA, PEFT, Adapters, Prefix Tuning
- Deployment: TorchServe, Triton, BentoML, Ray Serve, vLLM
- Orchestration: Apache Airflow, Prefect, Dagster, Kubeflow
- MLOps: MLflow, Weights & Biases, Neptune, ClearML
- Safety: Guardrails AI, NeMo Guardrails, Constitutional AI
- Embeddings: Sentence Transformers, OpenAI Embeddings, Cohere Embed
- Prompt Engineering: DSPy, Guidance, Promptify, LangChain Templates
- Knowledge Graphs: Neo4j, Amazon Neptune, GraphRAG
- Model Compression: Quantization, Distillation, Pruning, ONNX
- Foundation Models: GPT-4, Claude, Gemini, Llama, Mistral, Falcon, Mixtral
- Medical LLMs: Med-PaLM, BioGPT, ClinicalBERT, BioBERT, PubMedBERT
- AI Techniques: RAG, Fine-tuning, Few-shot, Zero-shot, Chain-of-Thought, RLHF
- Machine Learning: Deep learning, Computer vision, NLP, Federated learning
- Clinical Applications: Decision support, Diagnosis, Treatment planning, Risk prediction
- Medical Imaging: Radiology AI, Pathology AI, Medical computer vision
- Healthcare Data: EHR analysis, Wearable devices, Genomics, Proteomics
- Foundation Models: Large language models for medicine (Med-PaLM, BioGPT, clinical LLMs)
- Medical Imaging & Vision: AI for radiology, pathology, medical image analysis
- Clinical Decision Support: Diagnosis assistance, treatment recommendation, risk assessment
- Drug Discovery & Development: Molecular modeling, virtual screening, drug design
- Healthcare Data Analytics: EHR analysis, population health, predictive modeling
- Wearable & Remote Monitoring: IoT sensors, continuous monitoring, digital biomarkers
- Medical Data Security: Federated learning, differential privacy, secure computation
- Ethics & Regulation: AI safety, bias mitigation, FDA compliance, fairness
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