医学 AI

Learn2Reg: comprehensive multi-task medical image registration challenge, dataset and evaluation in the era of deep learning

Alessa Hering, Lasse Hansen, Tony C. W. Mok, Albert C. S. Chung, Hanna Siebert, Stephanie Häger, Annkristin Lange, Sven Kuckertz, Stefan Heldmann, Wei Shao, Sulaiman Vesal, Mirabela Rusu, Geoffrey Sonn, Théo Estienne, Maria Vakalopoulou, Luyi Han, Yunzhi Huang, Pew-Thian Yap, Mikael Brudfors, Yaël Balbastre, Samuel Joutard, Marc Modat, Gal Lifshitz, Dan Raviv, Jinxin Lv, Qiang Li, Vincent Jaouen, Dimitris Visvikis, Constance Fourcade, Mathieu Rubeaux, Wentao Pan, Zhe Xu, Bailiang Jian, Francesca De Benetti, Marek Wodzinski, Niklas Gunnarsson, Jens Sjölund, Daniel Grzech, Huaqi Qiu, Zeju Li, Alexander Thorley, Jinming Duan, Christoph Großbröhmer, Andrew Hoopes, Ingerid Reinertsen, Yiming Xiao, Bennett Landman, Yuankai Huo, Keelin Murphy, Nikolas Lessmann, Bram van Ginneken, Adrian V. Dalca, Mattias P. Heinrich

专题命中 医学数据与评测 ：medical image(title,abstract)；CT(abstract)；分类 cs.CV、eess.IV

Privacy-preserving medical image analysis

Alexander Ziller, Jonathan Passerat-Palmbach, Théo Ryffel, Dmitrii Usynin, Andrew Trask, Ionésio Da Lima Costa Junior, Jason Mancuso, Marcus Makowski, Daniel Rueckert, Rickmer Braren, Georgios Kaissis

专题命中 医学数据与评测 ：medical image(title,abstract)；diagnosis(abstract)；分类 cs.CV、cs.LG

Comments Accepted at the workshop for Medical Imaging meets NeurIPS, 34th Conference on Neural Information Processing Systems (NeurIPS) December 11, 2020

Symbrain: A large-scale dataset of MRI images for neonatal brain symmetry analysis

Arnaud Gucciardi, Safouane El Ghazouali, Francesca Venturini, Vida Groznik, Umberto Michelucci

专题命中 医学数据与评测 ：MRI(title,abstract)；diagnosis(abstract)；分类 cs.CV；medical AI(comments)

Comments 7 pages, 2 figures, Dataset Paper, Medical AI

Enhancing Privacy Preservation and Reducing Analysis Time with Federated Transfer Learning in Digital Twins-based Computed Tomography Scan Analysis

Avais Jan, Qasim Zia, Murray Patterson

机构 * Georgia State University（佐治亚州立大学） 纠错

专题命中 医学数据与评测 ：medical image(abstract)；CT(abstract)；diagnosis(abstract)；biomedical(abstract)

Journal ref International Conference on Computational Advances in Bio and Medical Sciences 2025. Cham: Springer Nature Switzerland

Doctorina MedBench: A Dialogue-Based Benchmark and Evaluation Framework for Agent-Based Medical AI

Doctorina MedBench：基于真实医患交互的医疗AI端到端评估框架

Anna Kozlova, Stanislau Salavei, Pavel Satalkin, Hanna Plotnitskaya, Sergey Parfenyuk, Andy Nkansah

机构 * A.I. Doctor Medical Assist LTD（A.I. Doctor Medical Assist有限公司） 纠错

专题命中 医学数据与评测 ：medical AI(title,abstract)；diagnosis(abstract)；分类 cs.LG

AI总结 Doctorina MedBench通过模拟真实医患对话评估医疗AI系统，包含诊断、观察、治疗和步骤计数四项指标，用于评估临床正确性和对话效率，同时支持多层级测试和质量监控。

What Does It Mean for a Medical AI System to Be Right?

医疗人工智能系统正确意味着什么？

Antony Gitau

机构 * University of South-Eastern Norway（南欧大学） 纠错

专题命中 医学数据与评测 ：medical AI(title,abstract)；diagnosis(abstract)；分类 cs.CV

AI总结 本文探讨医疗AI系统正确性的多维概念，涉及数据标注、模型解释、临床指标和责任分配，挑战单一基准性能的定义。

Comments Part of a PhD ethics course

RadThinking: A Dataset for Longitudinal Clinical Reasoning in Radiology

RadThinking：放射学中纵向临床推理的数据集

Wenxuan Li, Pedro R. A. S. Bassi, Xinze Zhou, Jakob Wasserthal, Alan L. Yuille, Zongwei Zhou

机构 * Department of Computer Science, Johns Hopkins University（约翰霍普金斯大学计算机科学系） ； Clinic of Radiology and Nuclear Medicine, University Hospital Basel（巴塞尔大学医院放射科与核医学科） ； Department of Oncology, Johns Hopkins School of Medicine（约翰霍普金斯医学院肿瘤科） 纠错

专题命中 医学数据与评测 ：radiology(title)；CT(abstract)；pathology(abstract)；分类 cs.CV

AI总结 RadThinking数据集通过三个难度层级的VQA任务，提供放射学纵向临床推理的训练和评估框架，支持多步骤推理和临床指南标准。

Robust by Design: A Continuous Monitoring and Data Integration Framework for Medical AI

鲁棒性设计：面向医学AI的连续监控与数据整合框架

Mohammad Daouk, Jan Ulrich Becker, Neeraja Kambham, Anthony Chang, Chandra Mohan, Hien Van Nguyen

机构 * University of Houston（休斯顿大学） ； University Hospital Cologne（科隆大学医院） ； Stanford University（斯坦福大学） ； The University of Chicago（芝加哥大学） 纠错

专题命中 医学数据与评测 ：medical AI(title,abstract)；pathology(abstract)；分类 cs.CV

AI总结 本文提出一种连续监控与数据整合框架，通过多指标特征分析和不确定性门控，实现医学AI模型在动态临床环境中的鲁棒性，防止数据漂移和灾难性遗忘。

Comments Accepted at IEEE ISBI 2026. Chandra Mohan and Hien Van Nguyen jointly supervised this work

AEGIS: An Operational Infrastructure for Post-Market Governance of Adaptive Medical AI Under US and EU Regulations

AEGIS：一种用于美国和欧盟法规下适应性医疗AI市场后治理的操作基础设施

Fardin Afdideh, Mehdi Astaraki, Fernando Seoane, Farhad Abtahi

机构 * Department of Clinical Science, Intervention and Technology, Karolinska Institutet（临床科学、干预与技术部门，Karolinska研究院） ； Department of Medical Radiation Physics, Stockholm University（医学辐射物理学部门，斯德哥尔摩大学） ； Department of Oncology-Pathology, Karolinska Institutet（肿瘤学-病理学部门，Karolinska研究院） ； Department of Clinical Physiology, Karolinska University Hospital（临床生理学部门，Karolinska大学医院） ； Department of Textile Technology, University of Bor s（纺织技术部门，Bor s大学） ； Department of Medical Technologies, Karolinska University Hospital（医学技术部门，Karolinska大学医院） ； Department of Biomedical Engineering and Health System, KTH Royal Institute of Technology（生物医学工程与健康系统部门，KTH皇家理工学院） 纠错

专题命中 医学数据与评测 ：medical AI(title,abstract)；healthcare AI(abstract)；分类 cs.LG

AI总结 本文提出AEGIS框架，通过数据集整合、模型监控和条件决策模块，实现FDA PCCP和EU AI Act条款的执行，支持医疗AI的持续学习与安全更新。

TrustFed: Enabling Trustworthy Medical AI under Data Privacy Constraints

TrustFed: 在数据隐私约束下实现可信的医疗AI

Vagish Kumar, Syed Bahauddin Alam, Souvik Chakraborty

机构 * Department of Applied Mechanics（应用力学系） ； Indian Institute of Technology Delhi（印度理工学院德里） ； Grainger College of Engineering（工程学院） ； Nuclear, Plasma & Radiological Engineering Department（核物理与辐射工程系） ； National Center for Supercomputing Applications（国家超级计算应用中心） ； Yardi School of Artificial Intelligence (ScAI)（Yardi人工智能学院（ScAI）） ； University of Illinois Urbana-Champaign（伊利诺伊大学厄巴纳-香槟分校） 纠错

专题命中 医学数据与评测 ：medical AI(title)；healthcare AI(abstract)；medical image(abstract)；分类 cs.LG

AI总结 TrustFed通过联邦不确定性量化框架，在异构和不平衡医疗数据上提供分布无关的有限样本覆盖保证，无需集中访问，提升预测可靠性。

zkFL-Health: Blockchain-Enabled Zero-Knowledge Federated Learning for Medical AI Privacy

zkFL-Health: 区块链赋能的零知识联邦学习用于医疗AI隐私

Savvy Sharma, George Petrovic, Sarthak Kaushik

机构 * School of Arts And Technology（艺术与技术学院） ； George Brown Polytechnic（乔治布朗理工学院） 纠错

专题命中 医学数据与评测 ：medical AI(title,abstract)；healthcare AI(abstract)；分类 cs.LG

AI总结 zkFL-Health通过结合联邦学习、零知识证明和可信执行环境，实现医疗AI的隐私保护和可验证协作训练。

Comments 10 pages, 1 figure, 5 tables

Federated Learning for Pediatric Pneumonia Detection: Enabling Collaborative Diagnosis Without Sharing Patient Data

Daniel M. Jimenez-Gutierrez, Enrique Zuazua, Joaquin Del Rio, Oleksii Sliusarenko, Xabi Uribe-Etxebarria

专题命中 医学数据与评测 ：diagnosis(title,abstract)；medical image(abstract)；分类 cs.LG

FedOnco-Bench: A Reproducible Benchmark for Privacy-Aware Federated Tumor Segmentation with Synthetic CT Data

Viswa Chaitanya Marella, Suhasnadh Reddy Veluru, Sai Teja Erukude

机构 * College of Business Administration Kansas State University Manhattan, USA（商学院 Kansas State University 美国曼哈顿） ； Department of Computer Science Kansas State University Manhattan, USA（计算机科学系 Kansas State University 美国曼哈顿） 纠错

专题命中 医学数据与评测 ：CT(title,abstract)；medical image(abstract)；分类 cs.CV

Comments Published in IEEE

Beyond Static Knowledge Messengers: Towards Adaptive, Fair, and Scalable Federated Learning for Medical AI

Jahidul Arafat, Fariha Tasmin, Sanjaya Poudel, Iftekhar Haider

机构 * Department of Computer Science and Software Engineering, Auburn University（计算机科学与软件工程系，阿伯丁大学） ； Department of Information and Communication Technology, Bangladesh University of Professionals（信息与通信技术系，孟加拉国专业大学） ； Mymensingh Medical College and Hospital（迈明辛医疗学院和医院） 纠错

专题命中 医学数据与评测 ：medical AI(title,abstract)；healthcare AI(abstract)；分类 cs.LG

Comments 20 pages, 4 figures, 14 tables. Proposes Adaptive Fair Federated Learning (AFFL) algorithm and MedFedBench benchmark suite for healthcare federated learning

CEPerFed: Communication-Efficient Personalized Federated Learning for Multi-Pulse MRI Classification

Ludi Li, Junbin Mao, Hanhe Lin, Xu Tian, Fang-Xiang Wu, Jin Liu

机构 * Xinjiang Engineering Research Center of Big Data and Intelligent Software, School of Software, Xinjiang University（大数据与智能软件工程研究中心，软件学院，新疆大学） ； Hunan Province Key Laboratory on Bioinformatics, School of Computer Science and Engineering, Central South University（生物信息学湖南省重点实验室，计算机科学与工程学院，中南大学） ； School of Science and Engineering, University of Dundee（科学与工程学院，邓迪大学） ； Division of Biomedical Engineering, University of Saskatchewan（生物医学工程系，萨斯喀彻温大学） ； Hunan Provincial Key Laboratory on Bioinformatics, School of Computer Science and Engineering, Central South University（生物信息学湖南省重点实验室，计算机科学与工程学院，中南大学） 纠错

专题命中 医学数据与评测 ：MRI(title,abstract)；diagnosis(abstract)；分类 cs.LG

Federated Fine-tuning of SAM-Med3D for MRI-based Dementia Classification

Kaouther Mouheb, Marawan Elbatel, Janne Papma, Geert Jan Biessels, Jurgen Claassen, Huub Middelkoop, Barbara van Munster, Wiesje van der Flier, Inez Ramakers, Stefan Klein, Esther E. Bron

机构 * Dept. of Radiology \& Nuclear Medicine, Erasmus MC, Rotterdam, the Netherlands The Hong Kong University of Science ； Technology, Hong Kong SAR Dept. of Neurology, Erasmus MC, Rotterdam, the Netherlands Dept. of Neurology, UMC Utrecht, Utrecht, the Netherlands Dept. of Geriatrics, Radboud UMC, Nijmegen, the Netherlands Dept. of Neurology, Leiden UMC, Leiden, the Netherlands Dept. of Internal Medicine, UMC Groningen, Groningen, the Netherlands Dept. of Neurology, Amsterdam UMC location VUmc, Amsterdam, the Netherlands Dept. of Psychiatry \& Psychology, Maastricht UMC, Maastricht, the Netherlands 纠错

专题命中 医学数据与评测 ：MRI(title,abstract)；diagnosis(abstract)；分类 cs.CV

Comments Accepted at the MICCAI 2025 Workshop on Distributed, Collaborative and Federated Learning (DeCAF)

ViDRiP-LLaVA: A Dataset and Benchmark for Diagnostic Reasoning from Pathology Videos

Trinh T. L. Vuong, Jin Tae Kwak

机构 * Korea University（韩国大学） 纠错

专题命中 医学数据与评测 ：pathology(title,abstract)；diagnosis(abstract)；分类 cs.CV

Clinically Grounded Agent-based Report Evaluation: An Interpretable Metric for Radiology Report Generation

Radhika Dua, Young Joon, Kwon, Siddhant Dogra, Daniel Freedman, Diana Ruan, Motaz Nashawaty, Danielle Rigau, Daniel Alexander Alber, Kang Zhang, Kyunghyun Cho, Eric Karl Oermann

机构 * New York University（纽约大学） ； NYU Langone Health（纽约大学兰格医学中心） ； Genentech（基因泰克） ； NYU Grossman School of Medicine（纽约大学格罗斯曼医学院） ； Wenzhou Medical University（温州医科大学） ； Macau University of Science and Technology（澳门科学大学） 纠错

专题命中 医学数据与评测 ：radiology(title,abstract)；diagnosis(abstract)；分类 cs.LG

An Enhanced Privacy-preserving Federated Few-shot Learning Framework for Respiratory Disease Diagnosis

Ming Wang, Zhaoyang Duan, Dong Xue, Fangzhou Liu, Zhongheng Zhang

机构 * Key Laboratory of Smart Manufacturing in Energy Chemical Process, Ministry of Education, East China University of Science and Technology（能源化工过程智能制造重点实验室，教育部，东华大学） ； Research Institute of Intelligent Control and Systems, School of Astronautics, Harbin Institute of Technology（智能控制与系统研究所，航天学院，哈尔滨工业大学） ； Department of Emergency Medicine, Provincial Key Laboratory of Precise Diagnosis and Treatment of Abdominal Infection, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine（急诊科，腹部感染精准诊断与治疗省级重点实验室，邵氏医院，浙江大学医学院） ； School of Medicine, Shaoxing University（医学院，绍兴大学） 纠错

专题命中 医学数据与评测 ：diagnosis(title,abstract)；medical image(abstract)；分类 cs.LG

Reliable Evaluation of MRI Motion Correction: Dataset and Insights

Kun Wang, Tobit Klug, Stefan Ruschke, Jan S. Kirschke, Reinhard Heckel

专题命中 医学数据与评测 ：MRI(title,abstract)；diagnosis(abstract)；分类 eess.IV

SoK: Security and Privacy Risks of Healthcare AI

Yuanhaur Chang, Han Liu, Chenyang Lu, Ning Zhang

专题命中 医学数据与评测 ：healthcare AI(title,abstract)；biomedical(abstract)；分类 cs.LG

Towards a clinically accessible radiology foundation model: open-access and lightweight, with automated evaluation

Juan Manuel Zambrano Chaves, Shih-Cheng Huang, Yanbo Xu, Hanwen Xu, Naoto Usuyama, Sheng Zhang, Fei Wang, Yujia Xie, Mahmoud Khademi, Ziyi Yang, Hany Awadalla, Julia Gong, Houdong Hu, Jianwei Yang, Chunyuan Li, Jianfeng Gao, Yu Gu, Cliff Wong, Mu Wei, Tristan Naumann, Muhao Chen, Matthew P. Lungren, Akshay Chaudhari, Serena Yeung-Levy, Curtis P. Langlotz, Sheng Wang, Hoifung Poon

专题命中 医学数据与评测 ：radiology(title,abstract)；biomedical(abstract)；分类 cs.CV

Journal ref Nature Communications volume 16, Article number: 3108 (2025)

GEMeX: A Large-Scale, Groundable, and Explainable Medical VQA Benchmark for Chest X-ray Diagnosis

Bo Liu, Ke Zou, Liming Zhan, Zexin Lu, Xiaoyu Dong, Yidi Chen, Chengqiang Xie, Jiannong Cao, Xiao-Ming Wu, Huazhu Fu

专题命中 医学数据与评测 ：diagnosis(title,abstract)；medical image(abstract)；分类 cs.CV

Comments This project is available at https://www.med-vqa.com/GEMeX

Content-Based Image Retrieval for Multi-Class Volumetric Radiology Images: A Benchmark Study

Farnaz Khun Jush, Steffen Vogler, Tuan Truong, Matthias Lenga

专题命中 医学数据与评测 ：radiology(title,abstract)；medical image(abstract)；分类 cs.CV

Comments 34 pages, 12 Figures, 22 Tables

INR-LDDMM: Fluid-based Medical Image Registration Integrating Implicit Neural Representation and Large Deformation Diffeomorphic Metric Mapping

Chulong Zhang, Xiaokun Liang

专题命中 医学数据与评测 ：medical image(title,abstract)；CT(abstract)；分类 eess.IV

PHE-SICH-CT-IDS: A Benchmark CT Image Dataset for Evaluation Semantic Segmentation, Object Detection and Radiomic Feature Extraction of Perihematomal Edema in Spontaneous Intracerebral Hemorrhage

Deguo Ma, Chen Li, Lin Qiao, Tianming Du, Dechao Tang, Zhiyu Ma, Marcin Grzegorzek Hongzan, Hongzan Sun

专题命中 医学数据与评测 ：CT(title,abstract)；diagnosis(abstract)；分类 cs.CV

CBLUE: A Chinese Biomedical Language Understanding Evaluation Benchmark

Ningyu Zhang, Mosha Chen, Zhen Bi, Xiaozhuan Liang, Lei Li, Xin Shang, Kangping Yin, Chuanqi Tan, Jian Xu, Fei Huang, Luo Si, Yuan Ni, Guotong Xie, Zhifang Sui, Baobao Chang, Hui Zong, Zheng Yuan, Linfeng Li, Jun Yan, Hongying Zan, Kunli Zhang, Buzhou Tang, Qingcai Chen

专题命中 医学数据与评测 ：biomedical(title,abstract)；diagnosis(abstract)；分类 cs.LG

Comments Accepted by ACL 2022

Neuropathic Pain Diagnosis Simulator for Causal Discovery Algorithm Evaluation

Ruibo Tu, Kun Zhang, Bo Christer Bertilson, Hedvig Kjellström, Cheng Zhang

专题命中 医学数据与评测 ：diagnosis(title,abstract)；pathology(abstract)；分类 cs.LG

Comments Accepted by NeurIPS 2019, 6 figures, 10 tables

Debunking Optimization Myths in Federated Learning for Medical Image Classification

Youngjoon Lee, Hyukjoon Lee, Jinu Gong, Yang Cao, Joonhyuk Kang

机构 * School of Electrical Engineering, KAIST, South Korea（韩国釜山科学技术大学电气工程学院） ； AI Group, AMD, United States（AMD美国人工智能小组） ； Department of Applied AI, Hansung University, South Korea（韩国汉 Sung大学应用人工智能系） ； Department of Computer Science, Institute of Science Tokyo, Japan（日本东京科学研究院计算机科学系） 纠错

专题命中 医学数据与评测 ：medical image(title)；pathology(abstract)；分类 cs.LG、eess.IV、eess.SP；medical AI(comments)

Comments Accepted to Efficient Medical AI Workshop - MICCAI 2025

PROMPT: A Pre-registered Randomized Protocol for Component-Level Evaluation of Clinical AI Prompts

PROMPT：临床AI提示组件级评估的预注册随机协议

Bin Hu, Avneek Sandhu, Shahryar Wasif

专题命中 医学数据与评测 ：clinical AI(title,abstract)；medical AI(abstract)；分类 q-bio

AI总结 提出PROMPT协议，通过预注册、随机化、匹配对照和拆解设计，在合成和医学图像任务中识别提示组件的有益、有害和无效效应，揭示整体提示评估遗漏的安全漏洞。

Comments 4 figures, 1 table