Overview

Healthcare AI uses patient records, medical images, signals, and conversations to support tasks such as diagnosis, risk prediction, treatment planning, and care coordination. Common approaches include supervised learning, multimodal foundation models, retrieval-augmented generation, knowledge graphs, and reinforcement learning. Systems are tested on resources such as MIMIC-IV, MedQA, and CheXpert, as well as through clinician studies and workflow evaluations. A central challenge is that strong benchmark results do not guarantee safe, fair, reliable performance with incomplete information, changing clinical settings, or real patients, so prospective validation and careful governance remain essential.

Latest papers

CardsList

621 papers24 papers in the last four weeks, down 40% on the four weeks before. 0.1% of all new papers.

  1. Decision and System One models in rheumatology: accuracy and calibration on specialty-training examination questions and diagnostic case vignettes

    Oct 29, 2026Alfredo Madrid-García, Diego Benavent, Fabian Lechner +3Clinical Language Model EvaluationMedical LLMs

  2. Large Language Models for Accurate Medical Chart Abstraction: Enabling Scalable and Secure Artificial Intelligence Deployment in Stroke

    Oct 27, 2026Zhusi Zhong, Carl M. Porto, David Hong +13Clinical Information ExtractionMedical LLMs

  3. Algorithmic Bias from the Perspectives of Healthcare Professionals

    Oct 27, 2026Jennifer Xu, Tamara BabaianAlgorithmic BiasAlgorithmic Fairness

  4. Application of Artificial Intelligence in the Management of Climate Change-Related Health Issues in Africa

    Oct 26, 2026Peter Kokol, Martha Kachweka, Helena Blazun Vosner +4Healthcare

  5. HerHealthGPT: An Evidence-Grounded Conversational AI System for Women's Reproductive Health Copy title

    Oct 24, 2026Hassan Saeed Hassan Albattra, Mazen Mohammed Bahgat, Rahatara Ferdousi +2HealthcareMedical QA

  6. Towards Trustworthy AI-Enabled Emergency Medical Dispatch: Uncertainty-Aware Ambulance Travel Time Estimation

    Oct 22, 2026Muhammad Adil Abid, Johan Holmgren, Fabian Lorig +1HealthcareRegression Prediction Intervals

  7. From Structured Records to Patient Narratives: Preserving Clinical Alignment in LLM-Generated Health Summaries

    Oct 22, 2026Bayram Ayadi, Florian Geissler, Johanna SchmidhuberText SummarizationHealthcare

  8. IndoNutriQA: An Indonesian Clinical Nutrition Question Answering Benchmark

    Oct 22, 2026Tirana Noor Fatyanosa, Ummu Ditya Erliana, Mahendra Data +3Clinical QAHealthcare

  9. Unit-Aware Differentially Private Quantum Machine Learning for Clinical and Wearable Health Data

    Oct 20, 2026Md Khalid Syfullah, Alvi Ataur KhalilPrivacy-Preserving MLQuantum Machine Learning

  10. Global Time-Aware Conditioning (GTC): A Mechanism for Time-Aware Pediatric Sleep Representation Learning

    Oct 19, 2026Saurav Raj Pandey, Harlin LeeTemporal Representation LearningSelf-Supervised Time Series Representation Learning

  11. From Clinical Risk Prediction to Operational Decisions: An Uncertainty-Aware Framework for ICU Staffing

    Oct 18, 2026Jiayan Yang, Ad Feelders, Arno SiebesHealthcareDecision-Making under Uncertainty

  12. ClinSDT: LLM-Encoded Clinical Semantic Guidance for Sepsis Treatment via Decision Transformer

    Oct 18, 2026Yanyan Wu, Guanyu Zhu, Changbin Zhao +7HealthcareClinical Decision-Making

  13. On the possibilities and limitations of LLM-based multi-agent systems for multi-criteria decision-making in healthcare operations management

    Oct 16, 2026Marco Boresta, Tommaso Giovannelli, Sepehr Namirad +1Preference ModelingMulti-Criteria Decision Analysis

  14. Evidence-Anchored Overdose Death Prediction from Death Investigation Reports

    Oct 14, 2026Raavi Gupta, Ziqing Yang, Karli R. Hochstatter +8HealthcareExplainable Artificial Intelligence

  15. Beyond Single-Pathogen Forecasts: Predicting Shared Respiratory Hospital Burden from Influenza, COVID-19, and RSV

    Oct 12, 2026Gaurob Saha, MinJae Woo, Lior RennertEpidemic ForecastingHealthcare

  16. When Pleasing the User Compromises Care: AI Sycophancy in Caregiver-Mediated Healthcare

    Oct 9, 2026Priyadarsi Mishra, Arjun Beniwal, Ziyu Yi +2LLM SycophancyHuman-AI Decision Making

  17. CCQ: A Multi-State Child Care Quality Dataset to Support AI for Children's Health Research

    Oct 5, 2026Victor Li, Yuzhang Xie, Ziwei Dong +6HealthcareTraining Data Curation

  18. "I just assumed that it would translate": examining MT risk awareness among healthcare staff with abbreviations as a use case

    Oct 1, 2026Eleanor Taylor-Stilgoe, Félix do Carmo, Constantin OrăsanMachine TranslationHealthcare

  19. Quantifying the Impact of Ambulance Ramping: A Multi-Year Analysis of Victorian Emergency Medical Services Cases

    Sep 30, 2026Ayesha Tanveer, Khandakar Ahmed, Assefa Teshome +2Healthcare

  20. Patient-Centered Treatment Planning for Chronic Multimorbidity: A Hierarchical Reinforcement Learning Framework for Preference Modeling

    Sep 30, 2026Nafiseh Payani, Soham Das, G. Anthony Wilson +1HealthcareHierarchical RL

  21. An Uncertainty-Guided Digital Twin Framework for Online Adaptive Proton Therapy in Head and Neck Cancer: A Feasibility Study

    Sep 30, 2026Yizhou Wu, Ryan J. Sanford, Huiqiao Xie +12HealthcareDigital Twins

  22. Physics-Informed Multi-Agent Coordination for Hospital Patient Flow Optimization

    Sep 29, 2026Guoqing Zhang, Rafik Hadfi, Takayuki ItoMulti-Agent CoordinationHealthcare

  23. Making Cross-Continental Federated Learning Repeatable with FLIP: a Multi-Application Study

    Sep 28, 2026Rafael Garcia-Dias, Alexandre Triay Bagur, Chayanin Tangwiriyasakul +20HealthcareML Reproducibility

  24. From PDF to Evidence: Structure-Aware Retrieval for Clinical Practice Guidelines

    Sep 27, 2026Xingyu Lin, Dehui DuHealthcareInformation Retrieval