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38 papers in the last four weeks, up 41% on the four weeks before. 0.3% of all new papers.

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VERA-MH: Validation of Ethical and Responsible AI in Mental Health
May 13, 2026Luca Belli, Kate H. Bentley, Josh Gieringer +6Healthcare Mental Health
Spring Health · Yale University
IndicMedDialog: A Parallel Multi-Turn Medical Dialogue Dataset for Accessible Healthcare in Indic Languages
May 13, 2026Shubham Kumar Nigam, Suparnojit Sarkar, Piyush PatelMultilingual Language Models Healthcare
University of Birmingham, Dubai, United Arab Emirates · Heritage Institute of Technology, Kolkata, India · Madan Mohan Malaviya University of Technology, India
Large Language Models Lack Temporal Awareness of Medical Knowledge
May 13, 2026Zihan Guan, Qiao Jin, Guangzhi Xiong +6Healthcare Temporal Reasoning in Language Models
University of Virginia · National Institutes of Health · Dana-Farber Cancer Institute +2
RISED: A Pre-Deployment Evaluation Framework for High-Stakes AI Decision-Support Systems, with Application to Healthcare
May 13, 2026Rohith Reddy Bellibatlu, Manpreet Singh, Yash Jajoo +2Distribution Shift Robustness Healthcare
Florida International University, Miami, FL, USA. · Boston University, Boston, MA, USA. · New York University, New York, NY, USA. +2
Quantifying Potential Observation Missingness in Inverse Reinforcement Learning
May 12, 2026Leo Benac, Abhishek Sharma, Alihan Huyuk +1Reinforcement Learning Healthcare
School of Engineering and Applied Sciences Harvard University
Training Large Language Models to Predict Clinical Events
May 12, 2026Benjamin Turtel, Paul Wilczewski, Kris SkotheimHealthcare Language Model Calibration
Lightning Rod Labs
CRAFT: Clinical Reward-Aligned Finetuning for Medical Image Synthesis
May 12, 2026Yunsung Chung, Alex El Darzi, Carlo El Khoury +3Diffusion Model Alignment Healthcare
Department of Computer Science, Tulane University, New Orleans, LA 70118 · School of Medicine, Tulane University, New Orleans, LA 70112
MedHopQA: A Disease-Centered Multi-Hop Reasoning Benchmark and Evaluation Framework for LLM-Based Biomedical Question Answering
May 12, 2026Rezarta Islamaj, Robert Leaman, Joey Chan +13Multi-Hop QA LLM Evaluation
National Library of Medicine, Division of Intramural Research, Bethesda, MD, US · University of Illinois at Urbana-Champaign, Department of Computer Science, Urbana, IL, US · University of Michigan Medical School, Ann Arbor, Michigan, US
Overview of the MedHopQA track at BioCreative IX: track description, participation and evaluation of systems for multi-hop medical question answering
May 12, 2026Rezarta Islamaj, Joey Chan, Robert Leaman +13Multi-Hop QA Healthcare
National Library of Medicine (NLM), National Institutes of Health (NIH), MD, 20894, Bethesda, USA · University of Illinois at Urbana Champaign · Korea University +7
What Does It Mean for a Medical AI System to Be Right?
May 12, 2026Antony GitauAI Accountability Healthcare
University of South-Eastern Norway
MedMemoryBench: Benchmarking Agent Memory in Personalized Healthcare
May 12, 2026Yihao Wang, Haoran Xu, Renjie Gu +10Agent Memory Healthcare
Zhejiang University · Ant Group · Alibaba Group +1
Checkup2Action: A Multimodal Clinical Check-up Report Dataset for Patient-Oriented Action Card Generation
May 12, 2026Sike Xiang, Shuang Chen, Kevin Qinghong Lin +4Medical Report Generation Healthcare
Durham University Durham, UK · University of Oxford Oxford, UK
Physics-Grounded Adversarial Stain Augmentation with Calibrated Coverage Guarantees
May 12, 2026Mingi HongData Augmentation Healthcare
434, Samseong-ro, Gangnam-gu, Seoul, Republic of Korea
Beyond Masks: The Case for Medical Image Parsing
May 12, 2026Siddharth Gupta, Alan L. Yuille, Zongwei ZhouHealthcare Medical Image Analysis
Johns Hopkins University · Northwestern University · Johns Hopkins Medicine
AcuityBench: Evaluating Clinical Acuity Identification and Uncertainty Alignment
May 12, 2026Robin Linzmayer, Georgianna Lin, Di Coneybeare +22Healthcare Clinical Triage
Department of Computer Science, Columbia University · Department of Biomedical Informatics, Columbia University · Department of Computer Science, Columbia University, New York, NY, USA +3
Network-Based Interventions for HIV Prevention via Cascade-Aware Suppression of Transmission
May 11, 2026Akseli Kangaslahti, Davin Choo, Milind Tambe +2Healthcare Combinatorial Optimization
Harvard University · University of Witwatersrand · Wits Health Consortium +1
ABRA: Agent Benchmark for Radiology Applications
May 11, 2026Bulat Maksudov, Vladislav Kurenkov, Kathleen M. Curran +1Radiology Report Generation Healthcare
School of Computing Dublin City University Dublin, Ireland · AXXX · School of Medicine University College Dublin Dublin, Ireland
ClinicalBench: Stress-Testing Assertion-Aware Retrieval for Cross-Admission Clinical QA on MIMIC-IV
May 11, 2026Alex StinardHealthcare Clinical QA
Department of Clinical Sciences, College of Medicine · University of Central Florida, Orlando, FL 32816
Neural at ArchEHR-QA 2026: One Method Fits All: Unified Prompt Optimization for Clinical QA over EHRs
May 11, 2026Abrar Majeedi, Viswanatha Reddy Gajjala, Sai Prasanna Teja Reddy Bogireddy +1Healthcare Clinical QA
University of Wisconsin–Madison · University of Chicago · Independent Researcher
Verification Mirage: Mapping the Reliability Boundary of Self-Verification in Medical VQA
May 11, 2026Ruinan Jin, Beidi Zhao, Myeongkyun Kang +2VLM Evaluation Vision-Language Models
1The University of British Columbia · 2Vector Institute · 3Redmin University of China
Clin-JEPA: A Multi-Phase Co-Training Framework for Joint-Embedding Predictive Pretraining on EHR Patient Trajectories
May 11, 2026Yixuan Yang, Mehak Arora, Ryan Zhang +10Self-Supervised Pre-Training Healthcare
Duke University, Durham, NC, USA
RadThinking: A Dataset for Longitudinal Clinical Reasoning in Radiology
May 11, 2026Wenxuan Li, Pedro R. A. S. Bassi, Xinze Zhou +3Healthcare Medical VQA
Department of Computer Science, Johns Hopkins University · Clinic of Radiology and Nuclear Medicine, University Hospital Basel · Department of Oncology, Johns Hopkins School of Medicine
GenMed: A Pairwise Generative Reformulation of Medical Diagnostic Tasks
May 11, 2026Hantao Zhang, Weidong Guo, Yuhe Liu +5Cross-Modality Medical Image Segmentation Diffusion Model Guidance
CVLab, École Polytechnique Fédérale de Lausanne (EPFL), Switzerland · Fudan University, Shanghai, China · Beihang University, Beijing, China +3
DuetFair: Coupling Inter- and Intra-Subgroup Robustness for Fair Medical Image Segmentation
May 11, 2026Yiqi Tian, Sangjoon Park, Bo Zeng +3Healthcare Distributionally Robust Optimization
Center for Advanced Medical Computing and Analysis, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02114 · Department of Industrial Engineering, University of Pittsburgh, Pittsburgh, PA 15261 · Department of Radiation Oncology, College of Medicine, Yonsei University, Seoul, South Korea +2
CellDX AI Autopilot: Agent-Guided Training and Deployment of Pathology Classifiers
May 11, 2026Alexey Pchelnikov, Aleksei PchelnikovComputational Pathology Healthcare
1HistAI
Medical Incident Causal Factors and Preventive Measures Generation Using Tag-based Example Selection in Few-shot Learning
May 11, 2026Yuna Haseyama, Tomoki Ito, Hiroki Sakaji +1Healthcare Few-Shot Learning
Graduate School of Information Science and Technology Hokkaido University Hokkaido, Japan · National Institute of Information and Communications Technology (NICT) Kyoto, Japan · Faculty of Information Science and Technology Hokkaido University Hokkaido, Japan
Med-StepBench: A Hierarchical Reasoning Framework for Evaluating Hallucinations in Medical Vision-Language Models
May 11, 2026Minh Khoi Nguyen, Dai Lam Le, Amir Reza Jafari +8Healthcare Hallucination Detection
1AI4LIFE, Hanoi University of Science and Technology, Vietnam · 2SAMOVAR, Télécom SudParis, Institut Polytechnique de Paris, France · Military Central Hospital, Vietnam +1
Learning to Compress Time-to-Control: A Reinforcement Learning Framework for Chronic Disease Management
May 10, 2026Prabhjot Singh, Abhishek Gupta, Chris Betz +4Reinforcement Learning Type 1 Diabetes
Altitude
Marrying Generative Model of Healthcare Events with Digital Twin of Social Determinants of Health for Disease Reasoning
May 10, 2026Ziquan Wei, Tingting Dan, Guorong WuHealthcare Digital Twins
Department of Computer Science 2Department of Psychiatry University of North Carolina at Chapel Hill
WISTERIA: Learning Clinical Representations from Noisy Supervision via Multi-View Consistency in Electronic Health Records
May 10, 2026Ruan Dong, Yuanyun Zhang, Shi LiHealthcare Multi-View Learning
University of Science and Technology of China · Columbia University

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VERA-MH: Validation of Ethical and Responsible AI in Mental Health

Luca Belli, Kate H. Bentley, Josh Gieringer, Emily Van Ark+5

Spring Health · Yale University

Healthcare Mental Health AI Safety Evaluation LLM Safety Evaluation Clinical Language Model Evaluation

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Chatbot usage has increased, including in fields for which they were never developed for--notably mental health support. To that end, we introduce Validations of Ethical and Responsible AI in Mental Health (VERA-MH), a novel clinically-validated evaluation for safety of chatbots in the context of mental health support. The first iteration of VERA-MH focuses on Suicidal Ideation (SI) risks, by assessing how well chatbots can responds to users that might be in crisis. VERA-MH is comprised of three steps: conversation simulation, conversation judging and model rating. First, to simulate conversations with the chatbot under evaluation, another chatbot is tasked with role-playing users based on specific personas. Such user personas have been developed under clinical guidance, to make sure that, among others, multiple risk factors, demographic characteristics and disclosure factors were represented. In the judging step, a second support model is used as an LLM-as-a-Judge, together with a clinically-developed rubric. The rubric is structured as a flow, with a single Yes/No question asked each time, to improve answers' consistency and highlight models' failure modes. In the last stage, results of each conversation are aggregated to present the final evaluation of the chatbot. Together with the framework, we present the result of the evaluations for four leading LLM providers.