医学 AI

Clinical Harness for Governable Medical AI Skill Ecosystems

可治理医疗AI技能生态系统的临床框架

Tianhan Xu, Lei Bao, Zhe Hu, Tian Shen, Yongxiang Wang

专题命中 其他医学AI ：medical AI(title,abstract)；clinical AI(abstract)

AI总结 提出临床AI技能与临床框架，通过运行时治理架构注册、编排、守护和监控AI临床能力，以骨质疏松为例展示知识驱动、数据驱动和物理增强技能在生命周期护理中的应用。

Generalization in medical AI: a perspective on developing scalable models

Eran Zvuloni, Leo Anthony Celi, Joachim A. Behar

专题命中 其他医学AI ：medical AI(title,abstract)；分类 cs.LG

Benchmarking bias: Expanding clinical AI model card to incorporate bias reporting of social and non-social factors

Carolina A. M. Heming, Mohamed Abdalla, Shahram Mohanna, Monish Ahluwalia, Linglin Zhang, Hari Trivedi, MinJae Woo, Benjamin Fine, Judy Wawira Gichoya, Leo Anthony Celi, Laleh Seyyed-Kalantari

专题命中 其他医学AI ：clinical AI(title,abstract)；分类 cs.CV

Drawing Out Legal Risks: Co-Designing with Lawyers to Predict and Manage Legal Uncertainties of Medical AI Tools

揭示法律风险：与律师共同设计以预测和管理医疗AI工具的法律不确定性

Gennie Mansi, Julia Kim, Michael Rosenbloom, Mark Riedl

专题命中 其他医学AI ：medical AI(title,abstract)

AI总结 通过与律师共同设计，识别并可视化医疗AI工具的法律风险，提出预测和管理策略，帮助组织应对法律不确定性。

Comments 13 pages, 8 figures; Note: This paper is formatted as a submission type called a Pictorial, used in some ACM venues (e.g. https://dis.acm.org/2026/pictorials/). Pictorials present visual components (e.g. study artifacts, diagrams) with text to convey contributions. We present co-created visualizations from our study alongside our analysis/. For more justification of the format, see page 4

Beyond Ethics: How Inclusive Innovation Drives Economic Returns in Medical AI

Balagopal Unnikrishnan, Ariel Guerra Adames, Amin Adibi, Sameer Peesapati, Rafal Kocielnik, Shira Fischer, Hillary Clinton Kasimbazi, Rodrigo Gameiro, Alina Peluso, Chrystinne Oliveira Fernandes, Maximin Lange, Lovedeep Gondara, Leo Anthony Celi

机构 * Department of Computer Science, University of Toronto（多伦多大学计算机科学系） ； Bordeaux Population Health Research Center, University of Bordeaux（波尔多大学人口健康研究中心） ； Faculty of Pharmaceutical Sciences, University of British Columbia（不列颠哥伦比亚大学药学系） ； Synthesize Health, Canada（加拿大Synthesize Health公司） ； Computing and Mathematical Sciences, California Institute of Technology（加州理工学院计算与数学科学系） ； RAND Corporation（RAND公司） ； Department of Radiology and Radiotherapy, Makerere University（Makerere大学放射科与放射治疗系） ； Laboratory for Computational Physiology, Massachusetts Institute of Technology（麻省理工学院计算生理学实验室） ； Department of Bioengineering, Instituto Superior Técnico（葡萄牙 Instituto Superior Técnico 生物工程系） ； Oak Ridge National Laboratory（橡树岭国家实验室） ； Institute of Psychiatry, Psychology & Neuroscience, King’s College London（伦敦国王学院精神病学、心理学与神经科学研究所） ； School of Population and Public Health, University of British Columbia（不列颠哥伦比亚大学流行病学与公共卫生学院） ； Provincial Health Services Authority, British Columbia, Canada（不列颠哥伦比亚省卫生服务局） ； Division of Pulmonary, Critical Care and Sleep Medicine, Beth Israel Deaconess Medical Center（Beth Israel Deaconess 医疗中心呼吸科、重症医学与睡眠医学科） ； Department of Biostatistics, Harvard T.H. Chan School of Public Health（哈佛大学T.H. 潘菲尔德公共卫生学院生物统计学系） 纠错

专题命中 其他医学AI ：medical AI(title)；healthcare AI(abstract)

Accountability Framework for Healthcare AI Systems: Towards Joint Accountability in Decision Making

Prachi Bagave, Marcus Westberg, Marijn Janssen, Aaron Yi Ding

专题命中 其他医学AI ：healthcare AI(title,abstract)

Comments To be published in AAAI AIES 2025

Emerging Cyber Attack Risks of Medical AI Agents

Jianing Qiu, Lin Li, Jiankai Sun, Hao Wei, Zhe Xu, Kyle Lam, Wu Yuan

专题命中 其他医学AI ：medical AI(title,abstract)

Readying Medical Students for Medical AI: The Need to Embed AI Ethics Education

Thomas P Quinn, Simon Coghlan

专题命中 其他医学AI ：medical AI(title,abstract)

Ensuring Medical AI Safety: Interpretability-Driven Detection and Mitigation of Spurious Model Behavior and Associated Data

Frederik Pahde, Thomas Wiegand, Sebastian Lapuschkin, Wojciech Samek

机构 * Fraunhofer Heinrich Hertz Institut（弗劳恩霍夫 Heinrich Hertz 研究所） ； Technische Universität Berlin（柏林技术大学） ； Berlin Institute for the Foundations of Learning and Data (BIFOLD)（柏林学习与数据基础研究所（BIFOLD）） 纠错

专题命中 其他医学AI ：medical AI(title)；分类 cs.CV、cs.LG

Creating Trustworthy LLMs: Dealing with Hallucinations in Healthcare AI

Muhammad Aurangzeb Ahmad, Ilker Yaramis, Taposh Dutta Roy

专题命中 其他医学AI ：healthcare AI(title)；分类 cs.CV、cs.LG

UniPrompt-CL: Sustainable Continual Learning in Medical AI with Unified Prompt Pools

UniPrompt-CL：基于统一提示池的医疗AI可持续持续学习

Gyutae Oh, Jitae Shin

机构 * Department of Electrical and Computer Engineering, Sungkyunkwan University（电气与计算机工程系，成均馆大学） 纠错

专题命中 其他医学AI ：medical AI(title)；分类 cs.LG

AI总结 UniPrompt-CL通过改进提示池设计和引入新正则化项，在医疗领域实现更稳定的持续学习，降低计算成本并提升模型性能。

Comments 25 pages, 4 figures

MAIA: A Collaborative Medical AI Platform for Integrated Healthcare Innovation

Simone Bendazzoli, Sanna Persson, Mehdi Astaraki, Sebastian Pettersson, Vitali Grozman, Rodrigo Moreno

机构 * Department of Biomedical Engineering and Health Systems, KTH, Royal Institute of Technology（生物医学工程与健康系统系，皇家理工学院） ； Department of Clinical Sciences, Intervention and Engineering, Karolinska Institutet（临床科学、干预与工程系，卡罗林斯卡研究所） ； Division of Medical Radiation Physics, Department of Physics, Stockholm University（医学放射物理 division，物理系，斯德哥尔摩大学） ； Department of Oncology-Pathology, Karolinska Institutet（肿瘤学-病理学系，卡罗林斯卡研究所） ； Department of Radiology, Karolinska University Hospital（放射学系，卡罗林斯卡大学医院） ； Department of Molecular Medicine and Surgery, Karolinska Institutet（分子医学与外科系，卡罗林斯卡研究所） ； Department of Neurobiology, Care Sciences and Society, Karolinska Institutet（神经生物学、护理科学与社会系，卡罗林斯卡研究所） 纠错

专题命中 其他医学AI ：medical AI(title)；分类 cs.CV

Comments 26 pages, 12 figures

Limits of trust in medical AI

Joshua Hatherley

专题命中 其他医学AI ：medical AI(title)；分类 cs.LG

Journal ref Journal of Medical Ethics 46(7): 478-481 (2020)

Transparency in Healthcare AI: Testing European Regulatory Provisions against Users' Transparency Needs

医疗人工智能中的透明性：测试欧洲监管规定与用户透明性需求之间的契合度

Anna Spagnolli, Cecilia Tolomini, Elisa Beretta, Claudio Sarra

专题命中 其他医学AI ：healthcare AI(title)

AI总结 本研究评估了欧洲AI法规中透明性要求与医疗AI用户需求之间的契合度，通过调查不同相关方发现透明性需求与使用说明书结构之间的映射问题，并提出改进建议。

Comments 22 pages, pre-review version

Journal ref (2026) PLOS Digit Health 5(7): e0001594

The Imbalanced User-AI Relationships as an Ethical Failure of Front-End Design in Healthcare AI

医疗AI中不平衡的用户-人工智能关系作为前端设计的伦理失败

Maureen Mghambi Mwadime

机构 * School of Computer Science, Northumbria University（北约克大学计算机科学学院） 纠错

专题命中 其他医学AI ：healthcare AI(title)

AI总结 本文探讨医疗AI中用户与AI关系的不平衡问题，指出前端界面设计对患者和医生的影响，提出通过互惠设计改善人机交互的伦理框架。

Comments Accepted at the Proceedings of the CHI 2026 Workshop: Ethics at the Front-End

Healthcare AI for Automation or Allocation? A Transaction Cost Economics Framework

医疗AI用于自动化还是分配？一种交易成本经济学框架

Ari Ercole

机构 * Department of Medicine, University of Cambridge, Addenbrooke’s Hospital, Hills Road, Cambridge CB2 0QQ, UK（剑桥大学医学系，加德纳医院，剑桥，英国） 纠错

专题命中 其他医学AI ：healthcare AI(title)

AI总结 本文通过交易成本经济学框架分析医疗工作中协调成本的差异，发现临床角色的协调成本高于非临床角色，表明数字和AI干预的机会分布受协调结构影响更大。

Enabling On-Device Medical AI Assistants via Input-Driven Saliency Adaptation

Uttej Kallakurik, Edward Humes, Rithvik Jonna, Xiaomin Lin, Tinoosh Mohsenin

机构 * Johns Hopkins Whiting School of Engineering（约翰霍普金斯大学惠蒂工程学院） 纠错

专题命中 其他医学AI ：medical AI(title)

Comments Accepted for publication in the Proceedings of IEEE BioCAS 2025

Towards medical AI misalignment: a preliminary study

Barbara Puccio, Federico Castagna, Allan Tucker, Pierangelo Veltri

专题命中 其他医学AI ：medical AI(title)

Responsibility and Regulation: Exploring Social Measures of Trust in Medical AI

Glenn McGarry, Andy Crabtree, Lachlan Urquhart, Alan Chamberlain

专题命中 其他医学AI ：medical AI(title)

Comments To be published in Second International Symposium on Trustworthy Autonomous Systems, September 15 18, 2024, Austin, Texas

Towards Clinical AI Fairness: Filling Gaps in the Puzzle

Mingxuan Liu, Yilin Ning, Salinelat Teixayavong, Xiaoxuan Liu, Mayli Mertens, Yuqing Shang, Xin Li, Di Miao, Jie Xu, Daniel Shu Wei Ting, Lionel Tim-Ee Cheng, Jasmine Chiat Ling Ong, Zhen Ling Teo, Ting Fang Tan, Narrendar RaviChandran, Fei Wang, Leo Anthony Celi, Marcus Eng Hock Ong, Nan Liu

专题命中 其他医学AI ：clinical AI(title)

Towards clinical AI fairness: A translational perspective

Mingxuan Liu, Yilin Ning, Salinelat Teixayavong, Mayli Mertens, Jie Xu, Daniel Shu Wei Ting, Lionel Tim-Ee Cheng, Jasmine Chiat Ling Ong, Zhen Ling Teo, Ting Fang Tan, Ravi Chandran Narrendar, Fei Wang, Leo Anthony Celi, Marcus Eng Hock Ong, Nan Liu

专题命中 其他医学AI ：clinical AI(title)

Quantifying Deep Learning Model Uncertainty in Conformal Prediction

Hamed Karimi, Reza Samavi

专题命中 其他医学AI ：medical AI(abstract,comments)；分类 cs.CV、cs.LG

Comments Accepted in AAAI Second Symposium on Human Partnership with Medical AI: Design, Operationalization, and Ethics

Journal ref Published in Proceedings of the AAAI Inaugural Summer Symposium Series 2023 (SuSS-23), Vol. 1, No. 1, pp. 142-148

Leveraging the Structure of Medical Data for Improved Representation Learning

Andrea Agostini, Sonia Laguna, Alain Ryser, Samuel Ruiperez-Campillo, Moritz Vandenhirtz, Nicolas Deperrois, Farhad Nooralahzadeh, Michael Krauthammer, Thomas M. Sutter, Julia E. Vogt

机构 * Department of Computer Science, ETH Zurich, Zurich, Switzerland（苏黎世联邦理工学院计算机科学系） ； Department of Quantitative Biomedicine, University of Zurich, Zurich, Switzerland（苏黎世大学定量生物医学系） 纠错

专题命中 其他医学AI ：medical AI(abstract)；分类 cs.CV、cs.LG

Journal ref Published at the ICML 2025 Workshop on Multi-modal Foundation Models and Large Language Models for Life Sciences

Positive-Sum Fairness: Leveraging Demographic Attributes to Achieve Fair AI Outcomes Without Sacrificing Group Gains

Samia Belhadj, Sanguk Park, Ambika Seth, Hesham Dar, Thijs Kooi

专题命中 其他医学AI ：medical AI(abstract)；分类 cs.CV、cs.LG

The unreasonable effectiveness of AI CADe polyp detectors to generalize to new countries

Joel Shor, Hiro-o Yamano, Daisuke Tsurumaru, Yotami Intrator, Hiroki Kayama, Joe Ledsam, Atsushi Hamabe, Koji Ando, Mitsuhiko Ota, Haruei Ogino, Hiroshi Nakase, Kaho Kobayashi, Eiji Oki, Roman Goldenberg, Ehud Rivlin, Ichiro Takemasa

专题命中 其他医学AI ：medical AI(abstract)；分类 cs.CV、cs.LG

MONAI: An open-source framework for deep learning in healthcare

M. Jorge Cardoso, Wenqi Li, Richard Brown, Nic Ma, Eric Kerfoot, Yiheng Wang, Benjamin Murrey, Andriy Myronenko, Can Zhao, Dong Yang, Vishwesh Nath, Yufan He, Ziyue Xu, Ali Hatamizadeh, Andriy Myronenko, Wentao Zhu, Yun Liu, Mingxin Zheng, Yucheng Tang, Isaac Yang, Michael Zephyr, Behrooz Hashemian, Sachidanand Alle, Mohammad Zalbagi Darestani, Charlie Budd, Marc Modat, Tom Vercauteren, Guotai Wang, Yiwen Li, Yipeng Hu, Yunguan Fu, Benjamin Gorman, Hans Johnson, Brad Genereaux, Barbaros S. Erdal, Vikash Gupta, Andres Diaz-Pinto, Andre Dourson, Lena Maier-Hein, Paul F. Jaeger, Michael Baumgartner, Jayashree Kalpathy-Cramer, Mona Flores, Justin Kirby, Lee A. D. Cooper, Holger R. Roth, Daguang Xu, David Bericat, Ralf Floca, S. Kevin Zhou, Haris Shuaib, Keyvan Farahani, Klaus H. Maier-Hein, Stephen Aylward, Prerna Dogra, Sebastien Ourselin, Andrew Feng

专题命中 其他医学AI ：medical AI(abstract)；分类 cs.CV、cs.LG

Comments www.monai.io

Active Multiple-Prediction-Powered Inference

主动多预测驱动推断

Nicholas Brawand, Nima Leclerc, Anhthy Ngo, Matthew Peterson, Sriram Vishwanath, Laith Alhussein, Ben Wellner

机构 * The MITRE Corporation（MITRE公司） ； Georgia Institute of Technology（佐治亚理工学院） 纠错

专题命中 其他医学AI ：healthcare AI(abstract)；分类 cs.LG

AI总结 本文提出主动多预测驱动推断（AM-PPI），通过在部署时根据成本选择合适的预测子集，优化标签获取和预测权重，实现更高效的医疗AI监控。

MAPLE: Elevating Medical Reasoning from Statistical Consensus to Process-Led Alignment

MAPLE：从统计共识到过程导向对齐的医学推理提升

Kailong Fan, Anqi Pu, Yichen Wu, Wanhua Li, Yicong Li, Hanspeter Pfister, Huafeng Liu, Xiang Li, Quanzheng Li, Ning Guo

机构 * Zhejiang University（浙江大学） ； Harvard University（哈佛大学） ； Harvard Medical School（哈佛医学院） 纠错

专题命中 其他医学AI ：medical AI(abstract)；分类 cs.LG

AI总结 MAPLE通过整合医学过程奖励模型与TTRL，提升医学推理的准确性和可靠性，实现从统计共识到过程导向对齐的转变。

Fleming-R1: Toward Expert-Level Medical Reasoning via Reinforcement Learning

Chi Liu, Derek Li, Yan Shu, Robin Chen, Derek Duan, Teng Fang, Bryan Dai

机构 * Ubiquant 纠错

专题命中 其他医学AI ：medical AI(abstract)；分类 cs.LG

ArGen: Auto-Regulation of Generative AI via GRPO and Policy-as-Code

Kapil Madan

机构 * Principled Evolution（原则进化） 纠错

专题命中 其他医学AI ：medical AI(abstract)；分类 cs.LG

Comments 53 pages, 7 figures, 8 tables. Open-source implementation available at: https://github.com/Principled-Evolution/argen-demo. Work explores the integration of policy-as-code for AI alignment, with a case study in culturally-nuanced, ethical AI using Dharmic principles