Pathology Visual Question Answering

Also known as VQA

Latest papers

18 papers3 papers in the last four weeks, against 2 the four weeks before. 0.0% of all new papers.

PathoJev: Efficient Pathology Decisions from Shared Visual Context
Oct 29, 2026Chengyang Zhang, Wenchuan Zhang, Bo Li +8Pathology Visual Question Answering Whole-Slide Image Analysis
College of Computer Science, Sichuan University · Department of Pathology and Institute of Clinical Pathology, West China Hospital, Sichuan University · Department of Computer Science, School of Computing, National University of Singapore +1
Look Beyond the Question: Preserve-Focus-Fuse for Whole-Slide Image Question Answering
Oct 21, 2026Xiangyu Li, Jincheng Li, Tianle Du +6Visual Question Answering Pathology Visual Question Answering
Tianjin University · Shanghai AI Laboratory · University of Science and Technology of China +6
PlanPath: Exploration-Guided Orchestration for Patient-Level Pathology Reasoning
Oct 13, 2026Jiusong Ge, Mingzhao He, Qidong Liu +8Pathology Visual Question Answering Medical Visual Question Answering
Xi’an Jiaotong University · University of Cambridge · A*STAR +1
See, Measure, and Reason: Learning Visually Grounded Reasoning in Pathology
Sep 28, 2026Chengyang Zhang, Wenchuan Zhang, Bo Li +8Computational Pathology Medical Visual Question Answering
College of Computer Science, Sichuan University · Department of Pathology and Institute of Clinical Pathology, West China Hospital, Sichuan University · Department of Computer Science, School of Computing, National University of Singapore +1
Contamination, Prior, or Evidence? Decomposing and Training Evidence Use in Whole-Slide Vision-Language Models
Sep 26, 2026Wenhao Zhang, Zhongliang Zhou, Shiyuan Zhang +6Pathology Visual Question Answering Medical VLMs
University of Virginia, Charlottesville · Merck & Co., Inc.
SlideBank: A Persistent Hierarchical Evidence Bank for Consistent Whole-Slide Reasoning
Aug 31, 2026Beidi Zhao, Gexin Huang, Ciro Zhang +6Memory-Augmented VLMs Medical Visual Question Answering
University of British Columbia · Vector Institute · Harvard University +3
VIPER: An Expert-Curated Benchmark for Vision-Language Models in Veterinary Pathology
Aug 26, 2026Luca L. Weishaupt, Simone de Brot, Javier Asin +9VLM Evaluation Pathology Visual Question Answering
Harvard-MIT HST · Mass General Brigham · Harvard Medical School +6
PathoArgus: Advancing Evidence-Grounded Long-Context Visual Reasoning across Gigapixel Whole-Slide and Multi-Slide Case Contexts
Aug 18, 2026Bowen Liu, Qixiang Zhang, Xiaomeng LiPathology Visual Question Answering Medical Visual Question Answering
The Hong Kong University of Science and Technology
Agentic Visual Reasoning in Whole-Slide Pathology Images via Active Perception
Aug 9, 2026Jingyun Chen, Fengchun Liu, Linghan Cai +5Active Perception Medical Visual Question Answering
College of Computer Science and Technology, Harbin Institute of Technology, Shenzhen · School of Computing and Data Science, The University of Hong Kong
Beyond Relevance: Bayesian Evidence Acquisition for Agentic Whole-Slide Image Reasoning
Aug 6, 2026Bryan Wong, Xun Xu, Huazhu Fu +2Visual Question Answering Computational Pathology
1Korea Advanced Institute of Science and Technology (KAIST) · Institute of Advanced Intelligence and Computing (IAIC), A*STAR · Centre for Frontier AI Research (CFAR), A*STAR
PathView-Bench: Can Multimodal Large Language Models Achieve Fine-grained Multiscale Understanding of Pathology Images?
Jul 30, 2026Zongyi Chen, Yu Liang, Jie Lin +1Computational Pathology Medical Visual Question Answering
National Institute for Data Science in Health and Medicine, Xiamen University · Institute of Artificial Intelligence Xiamen University, Xiamen, China · Department of Computer Science School of Informatics Xiamen University, Xiamen, China
PathScale-R1: Cross-scale Reasoning for Pathological Image Analysis
Jul 26, 2026Chi Phan, Tianyi Zhang, Yufeng Wu +7Computational Pathology Medical Visual Question Answering
Department of Electrical and Computer Engineering, National University of Singapore, Singapore 117417 · Department of Biomedical Engineering, National University of Singapore, Singapore 117417, Singapore · Department of Pathology, Fujian Medical University Cancer Hospital & Fujian Cancer Hospital, Fuzhou, China +1
Do Pathology Vision-Language Models Truly See Pathology?
Jul 23, 2026Chengyang Zhang, Wenchuan Zhang, Bo Li +10VLM Evaluation Computational Pathology
College of Computer Science, Sichuan University · Department of Pathology and Institute of Clinical Pathology, West China Hospital, Sichuan University · Department of Computer Science, School of Computing, National University of Singapore +2
Enhancing Pathological VLMs with Cross-scale Reasoning
Jun 16, 2026Chi Phan, Tianyi Zhang, Qiaochu Xue +5Visual Question Answering Computational Pathology
Department of Electrical and Computer Engineering, National University of Singapore, Singapore · PuzzleLogic Pte Ltd, Singapore · Department of Pathology, Fujian Medical University Cancer Hospital & Fujian Cancer Hospital, Fuzhou, China
PathNavigate: A Training-Free Pathology Agent with Surprise-Guided Scan and Shared Slide Memory for Whole-Slide Image VQA
May 22, 2026Chunze Yang, Qidong Liu, Wenjie Zhao +10Healthcare Medical Visual Question Answering
School of Comp. Science & Technology, Xi’an Jiaotong University · Tencent Jarvis Lab · University of Cambridge
DALPHIN: Benchmarking Digital Pathology AI Copilots Against Pathologists on an Open Multicentric Dataset
May 5, 2026Carlijn Lems, Sander Moonemans, Natálie Klubíčková +53Computational Pathology Healthcare
Act Like a Pathologist: Tissue-Aware Whole Slide Image Reasoning
Feb 28, 2026Wentao Huang, Weimin Lyu, Peiliang Lou +8Pathology Visual Question Answering Medical Visual Question Answering
Stony Brook University, NY, USA · Mayo Clinic, MN, USA · Harvard Medical School, MA, USA +1
Hepato-LLaVA: An Expert MLLM with Sparse Topo-Pack Attention for Hepatocellular Pathology Analysis on Whole Slide Images
Feb 23, 2026Yuxuan Yang, Zhonghao Yan, Yi Zhang +6Pathology Visual Question Answering Medical VLMs
School of Artificial Intelligence, Beijing University of Posts and Telecommunications, Beijing 100876, China · Department of Pathology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China

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PathoJev: Efficient Pathology Decisions from Shared Visual Context

Chengyang Zhang, Wenchuan Zhang, Bo Li, Xinyu Liu+7

College of Computer Science, Sichuan University · Department of Pathology and Institute of Clinical Pathology, West China Hospital, Sichuan University · Department of Computer Science, School of Computing, National University of Singapore+1

Pathology Visual Question Answering Whole-Slide Image Analysis Efficient VLM Inference

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Pathology workflows require multiple visual judgments about the same slide, from identifying tumor type to assessing grade and invasion. Generating and parsing a separate textual response for each structured question adds latency between visual evidence and usable decisions. Building on the System One paradigm, we introduce PathoJev, a pathology model that directly predicts answer probabilities for whole-slide and region-level assessment. PathoJev encodes each slide once and evaluates independent question suffixes in batches over the shared visual context. Reusing the hybrid backbone's recurrent states further limits the computation that grows with slide-context length for each additional question. Across three whole-slide benchmarks, the 9B and 27B models achieve mean accuracies of 77.2% and 78.1%, exceeding SlideChat by 5.4 and 6.3 percentage points. Both scales also maintain competitive accuracy on five ROI benchmarks. On WSI-Bench, the 9B model runs 9.1x faster than SlideChat. Shared context accelerates eight-question workloads by 6.9x and 5.9x over separate prefix encoding, rising to 11.2x and 8.9x for 64 questions. These results provide a reusable probabilistic interface for combining multiple visual judgments in whole-slide and local tissue assessment. Code: https://github.com/ChyaZhang/PathoJev.