| 1 | Testimony from Timelines: Evidence-Grounded Significance Testing of Temporal Clinical Hypotheses | Chengyang He, Wenlong Zhang, Koduvayur Subbalakshmi +1 | cs.CL | 2026-10-29 |
| 2 | Beyond Ground Truth: A Heuristic Unsupervised Quality Assurance Engine for Diagnosing Calibrational Blindness in Dental Segmentation | Fatematuj Johura Mim | cs.CV | 2026-10-29 |
| 3 | Advancing Clinical Genomic Analysis with a Skill-Centred Agent | Qiaoyu Zheng, Weike Zhao, Yanjie Fan +10 | cs.AI | 2026-10-29 |
| #4 | TRACER, a time-to-event EHR foundation model for disease detection across health systems | Mara Pleasure, Ekaterina Redekop, Vedrana Ivezic +4 | cs.CE | 2026-10-29 |
| #5 | Training language models in simulation for psychiatric intake | Samuel Schmidgall, Tim Strother, Alex Bijamov +53 | cs.AI | 2026-10-29 |
| #6 | Rural Readiness: Domain Generalization with Adversarially Chosen Domains | Cynthia Dwork, Andisheh Ghasemi, Lunjia Hu | cs.LG | 2026-10-29 |
| #7 | NECA: Neighbor Event Curve Augmentation for Multi-Horizon ICU Deterioration Prediction | Chenyang Wang, Jiawei Theresa Tang, Xinran Liu +2 | cs.LG | 2026-10-29 |
| #8 | Agentic LLM reasoning in pediatric diabetes outcome prediction from multimodal medical records | Daniel Palacios, Guantong Qi, Anna Kadi +8 | q-bio.QM | 2026-10-29 |
| #9 | Radiology Guideline-derived Decision Graph for Efficient Clinical Decision Support | Xuewen Zhou, Zhen Chen | cs.CV | 2026-10-29 |
| #10 | LoRe-MIM: Lost-or-Replaced Masked Image Modeling for Self-Supervised Representation Learning in Whole-Body PET/CT | Amartya Bhattacharya, Bashirul Azam Biswas, Biratal Raj Wagle +4 | cs.CV | 2026-10-29 |
| #11 | D-MOD: Diffusion mode estimation for accelerated MRI | Md Kawsar Ahmed, Mathews Jacob | cs.LG | 2026-10-29 |
| #12 | BRACHIO: Broad Representations Across Centres for Head-and-neck Imaging Oncology (HECKTOR 2026) | Roxanne De Maeyer, Ine Dirks, Yannick Brackenier +3 | cs.CV | 2026-10-29 |
| #13 | EPC-RawDC: Equivariant Physics Constrained 3D Diffusion with Raw Data Consistency for CBCT to CT Image Synthesis | Alzahra Altalib, Chunhui Li, Alessandro Perelli | cs.CV | 2026-10-29 |
| #14 | Segment Anything Model Based Context Guided Mamba Unet for Medical Image Segmentation | Chenchen Wang, You Zhou | cs.CV | 2026-10-29 |
| #15 | Enhancing Atrial Fibrillation Detection Through Hyperparameter Optimization | Sara Gjorgjieva, Ilinka Ivanoska, Marjan Gusev | cs.LG | 2026-10-29 |
| #16 | Aligning Medical Vision Language Models at the Capability Boundary with Entropy Adaptive Rubric Grounding | Hongyu Bai, Jiaqi Zeng, Chunzheng Zhu | cs.CV | 2026-10-29 |
| #17 | Confidence Filtering in Video-Based Gait Assessment: Measurement Error versus Selection Shift | David Regev, Eran Beeri Bamani | cs.CV | 2026-10-29 |
| #18 | Annotation-Free Representation Learning for Polyp Retrieval in Colonoscopy Videos | Luca Parolari, Lamberto Ballan, Carlo Biffi +1 | cs.CV | 2026-10-29 |
| #19 | Data Provenance and Ethics in the Curricula of U.S. Health AI Education Programs | Raffaele Giancotti, Francesca Santucci, Amama Anjum +5 | cs.CY | 2026-10-29 |
| #20 | BRIDGE: Learning Brain-Gut Metabolic Evidence for Alzheimer's Disease Diagnosis | Pengli Zhu, Ruxi Chang, Tianliang Yao +7 | cs.CV | 2026-10-29 |
| #21 | PathCowork: Learning from real-world pathology practice to build AI copilots | Sheng Wang, Jialu Yao, Maria V. Rossi +22 | cs.CV | 2026-10-29 |
| #22 | What Makes Medical Examination Items Difficult? Using Large Language Models to Explore Patterns Associated With Empirical Item Difficulty | Xiaomeng Xiong, Marcus Walker, Yanlin Jiang | cs.CL | 2026-10-29 |
| #23 | Tabular foundation models are not a shortcut to calibrated clinical risk prediction: a pre-registered simulation against the true risk | Ebrahim Khaled Ebrahim | stat.ME | 2026-10-28 |
| #24 | When Should AI Decide, Defer, and Deviate? Responsible Automation for Deceased Donor Kidney Allocation | Madeleine Pollack, Thomas Daillak, Mehmet Toner +3 | cs.AI | 2026-10-28 |
| #25 | A 211K Parameter Foundation Model: Genetic Prompting in Neural Cellular Automata | John Kalkhof, Niklas Ihm, Daniel Kirste +1 | cs.CV | 2026-10-28 |
| #26 | Auditable Hierarchical Inference with Multimodal Evidence and Bayesian Active Inquiry | Yucheng Liu, Everett X. Wang | cs.LG | 2026-10-28 |
| #27 | Alpha-TCM: A Nine-Layer Framework for TCM-Guided Multimodal Inference and Structured-Prior Auditing | Yucheng Liu, Everett X. Wang | cs.LG | 2026-10-28 |
| #28 | Latent Decision Flow Rewards for Clinical Guideline Reasoning | Gaurav Bhatt, Marinka Zitnik | cs.LG | 2026-10-28 |
| #29 | DES-JEPA: Learning a Shared Vocabulary for High-Dimensional Discrete Event Sequences | Hugo Math, Maximilian Forstenhäusler, Christos Anagnostopoulos | cs.AI | 2026-10-28 |
| #30 | Visually Irrelevant Hallucinations in Medical Vision-Language Models | Ke Zou, Nan Zhou, Tao Yang +9 | cs.CV | 2026-10-28 |
| #31 | SparseTokenGS: Gaussian-based Sparse-View CBCT Reconstruction via Reusable Token Pool | Zihan Deng, Zhenzhen Gong, Yujie Liu +10 | cs.CV | 2026-10-28 |
| #32 | Fu-TCM: a multimodal large language model that learns traditional Chinese medicine diagnostic reasoning | Jiahang Xie, Tong Jin, Lingfei Wu +9 | cs.CL | 2026-10-28 |
| #33 | PulmoWorld: An Asynchronous Multimodal Medical World Model for Longitudinal Pneumonia Dynamics | Cheng Tang, Xinyu Zhang, Jiawei Chen +14 | cs.CV | 2026-10-28 |
| #34 | Silhouette-Based Gaitomics for Frailty Assessment in Older Adults | Laura McDaniel, Ryan Roemmich, Crystal Szczesny +3 | cs.CV | 2026-10-28 |
| #35 | Rubricon: Automated Rubric Generation and Refinement for LLM Evaluation and Training | Ulyana Tkachenko, Hui Wen Goh, Guram Gogia +1 | cs.AI | 2026-10-28 |
| #36 | Disparity Laundering: Consensus Without Fairness in Clinical Multi-Agent Systems | Xiaoyang Wang, Tianrui Wang, Christopher C. Yang | cs.AI | 2026-10-28 |
| #37 | CARF: Context-Aware Reasoning Supervision for Scientific Evidence Screening | Nishtha Agarwal, Adam Visokay, Astha Wahi +4 | cs.CL | 2026-10-27 |
| #38 | Detecting Brain Cancer Progression Through Signatures of Wearable Accelerometry Data | Rishit Das, Barbora Barancikova, Matt Williams | cs.LG | 2026-10-27 |
| #39 | Large Language Models for Accurate Medical Chart Abstraction: Enabling Scalable and Secure Artificial Intelligence Deployment in Stroke | Zhusi Zhong, Carl M. Porto, David Hong +13 | cs.CL | 2026-10-27 |
| #40 | Algorithmic Bias from the Perspectives of Healthcare Professionals | Jennifer Xu, Tamara Babaian | cs.AI | 2026-10-27 |
| #41 | Responsible Quantum Machine Learning for Medical Imaging: A Fairness Audit Across Sensitive Subgroups | Giovanni dos Santos Franco, Felipe Mahlow, Ellison Fernando Cardoso +2 | cs.LG | 2026-10-27 |
| #42 | When uncertainty quantification fails: structural vulnerabilities and corrections for selective prediction under clinical class imbalance | Walter Endrizzi, Flavio Ragni, Raffaele Marchesi +4 | cs.LG | 2026-10-27 |
| #43 | EUReCA: End-to-End Unified CBCT Reconstruction Across Clinical Acquisitions | Jiening Zhu, Chengzhu Zhang, Jason Fan +8 | eess.IV | 2026-10-27 |
| #44 | M4Bench: Evaluating Procedural Specification for Clinical EHR Derivation Agents | Hannes Ill, Rafi Al Attrach, Rajna Fani +5 | cs.AI | 2026-10-27 |
| #45 | TCM-DiagCommit: A TCM-SD-Derived Benchmark for Evidence-Conditioned Syndrome Selection and Commitment | Erwei Hou, Yue Hu | cs.AI | 2026-10-27 |
| #46 | Retrospective macromolecular pool fraction mapping from conventional clinical MRI: a physics-guided self-supervised deep learning framework | Jelmer van Lune, Miha Fuderer, Oscar van der Heide +5 | physics.med-ph | 2026-10-27 |
| #47 | OpenGray: a benchmark for evaluating the decisions of radiotherapy planning agents | Humza Nusrat, Kundan Thind | cs.AI | 2026-10-27 |
| #48 | Systematic Morphometric Brain Autoencoding for Representation Learning in Neurodegenerative Diseases | Nuria Balbás-Esteban, Albert Belenguer-Llorens, Elaheh Moradi +3 | cs.CV | 2026-10-27 |
| #49 | Interpretable Deep Learning Models for Breast Cancer Diagnosis Using Medical Imaging | Sami Alnawali, Muhammad Atif Saeed, Abdul Hadi +3 | cs.CV | 2026-10-27 |
| #50 | Dense Representation Learning and Differentiable Shape Modeling for Spine Landmark Detection | Augustin Daridon, Sofiane Sifaoui, Ayman Assi +4 | cs.CV | 2026-10-27 |