{"total":20,"rows":[{"id":"2506.17939","title":"GEMeX-RMCoT: An Enhanced Med-VQA Dataset for Region-Aware Multimodal Chain-of-Thought Reasoning","created":"2025-06-22","cited_by_count":8,"area":"lr"},{"id":"2409.05370","title":"KARGEN: Knowledge-enhanced Automated Radiology Report Generation Using Large Language Models","created":"2024-09-09","cited_by_count":7,"area":"lr"},{"id":"2605.04039","title":"Safety and accuracy follow different scaling laws in clinical large language models","created":"2026-05-05","cited_by_count":6,"area":"lr"},{"id":"2509.03906","title":"Toward Clinically Explainable AI for Medical Diagnosis: A Foundation Model with Human-Compatible Reasoning via Reinforcement Learning","created":"2025-09-04","cited_by_count":5,"area":"lr"},{"id":"2511.17652","title":"TeamPath: Building MultiModal Pathology Experts with Reasoning AI Copilots","created":"2025-11-20","cited_by_count":5,"area":"lr"},{"id":"2604.00493","title":"A Reasoning-Enabled Vision-Language Foundation Model for Chest X-ray Interpretation","created":"2026-04-01","cited_by_count":5,"area":"lr"},{"id":"2508.12957","title":"Adaptive Reinforcement for Open-ended Medical Reasoning via Semantic-Guided Reward Collapse Mitigation","created":"2025-08-18","cited_by_count":4,"area":"lr"},{"id":"2509.22812","title":"EditGRPO: Reinforcement Learning with Post-Rollout Edits for Clinically Accurate Chest X-Ray Report Generation","created":"2025-09-26","cited_by_count":4,"area":"lr"},{"id":"2509.15596","title":"EyePCR: A Comprehensive Benchmark for Fine-Grained Perception, Knowledge Comprehension and Clinical Reasoning in Ophthalmic Surgery","created":"2025-09-19","cited_by_count":3,"area":"lr"},{"id":"2509.22258","title":"Beyond Classification Accuracy: Neural-MedBench and the Need for Deeper Reasoning Benchmarks","created":"2025-09-26","cited_by_count":3,"area":"lr"},{"id":"2604.19060","title":"Reinforcement Learning Improves LLM Accuracy and Reasoning in Disease Classification from Radiology Reports","created":"2026-04-21","cited_by_count":2,"area":"lr"},{"id":"2605.20277","title":"Regulating Anatomy-Aware Rewards via Trajectory-Integral Feedback for Volumetric Computed Tomography Analysis","created":"2026-05-19","cited_by_count":2,"area":"lr"},{"id":"2601.16685","title":"AgentsEval: Clinically Faithful Evaluation of Medical Imaging Reports via Multi-Agent Reasoning","created":"2026-01-23","cited_by_count":0,"area":"lr"},{"id":"2606.14766","title":"XMedFusion: A Knowledge-Guided Multimodal Perception and Reasoning Framework for Autonomous Medical Systems","created":"2026-06-08","cited_by_count":0,"area":"lr"},{"id":"2608.00100","title":"SPARC-Rad: A Multimodal Benchmark Dataset and Evaluation Pipeline for Spatial and Anatomical Reasoning in Radiology Vision-Language Models","created":"2026-07-30","cited_by_count":0,"area":"lr"},{"id":"2608.03187","title":"NeuroMosaic: Anatomically Grounded Multimodal Large Language Modeling for Molecularly Aware Glioma Reasoning from 3D MRI and Clinical Narratives","created":"2026-08-04","cited_by_count":0,"area":"lr"},{"id":"2608.30758","title":"CheXGround: Anatomical Region Tokens for Grounded Longitudinal Chest X-ray Interpretation","created":"2026-08-31","cited_by_count":0,"area":"lr"},{"id":"2609.27511","title":"NV-Reason-CT: 3D Visual Language Model for CT Analysis","created":"2026-09-23","cited_by_count":0,"area":"lr"},{"id":"2609.31911","title":"Enhancing Visual Reasoning in Chest X-Ray Report Generation Using Reinforcement Learning","created":"2026-09-25","cited_by_count":0,"area":"lr"},{"id":"2610.08813","title":"Pre-training, Reasoning, Benchmarking: X-ray Report Generation on CheXpert Plus Dataset","created":"2026-09-23","cited_by_count":0,"area":"lr"}],"next_cursor":null}