Limits of trust in medical AI

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Limits of trust in medical AI

20 March 2025

Joshua Hatherley

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Papers citing "Limits of trust in medical AI"

19 / 19 papers shown

Title
Federated learning, ethics, and the double black box problem in medical AI Joshua Hatherley Anders Søgaard Angela Ballantyne Ruben Pauwels FedML 92 1 0 29 Apr 2025
In defence of post-hoc explanations in medical AI Joshua Hatherley Lauritz Munch Jens Christian Bjerring 79 0 0 29 Apr 2025
Diachronic and synchronic variation in the performance of adaptive machine learning systems: The ethical challenges Joshua Hatherley Robert Sparrow 65 12 0 11 Apr 2025
A moving target in AI-assisted decision-making: Dataset shift, model updating, and the problem of update opacity Joshua Hatherley AAML 60 1 0 07 Apr 2025
Are clinicians ethically obligated to disclose their use of medical machine learning systems to patients? Joshua Hatherley 68 1 0 31 Mar 2025
Evaluating Visual Explanations of Attention Maps for Transformer-based Medical Imaging Minjae Chung Jong Bum Won Ganghyun Kim Yujin Kim Utku Ozbulak MedIm 182 0 0 12 Mar 2025
The AI Double Standard: Humans Judge All AIs for the Actions of One Aikaterina Manoli Janet V. T. Pauketat Jacy Reese Anthis 129 2 0 08 Dec 2024
DWARF: Disease-weighted network for attention map refinement Haozhe Luo Aurélie Pahud de Mortanges Oana Inel Abraham Bernstein Mauricio Reyes MedIm 89 3 0 24 Jun 2024
Foundation Model for Advancing Healthcare: Challenges, Opportunities, and Future Directions Yuting He Fuxiang Huang Xinrui Jiang Yuxiang Nie Minghao Wang Jiguang Wang Hao Chen LM&MA AI4CE 130 36 0 04 Apr 2024
Collaborative human-AI trust (CHAI-T): A process framework for active management of trust in human-AI collaboration Melanie Mcgrath Andreas Duenser Justine Lacey Cecile Paris 71 4 0 02 Apr 2024
Trust in AI: Progress, Challenges, and Future Directions S. Afroogh Ali Akbari Evan Malone Mohammadali Kargar Hananeh Alambeigi AI4TS 76 32 0 12 Mar 2024
ChatDoctor: A Medical Chat Model Fine-Tuned on a Large Language Model Meta-AI (LLaMA) Using Medical Domain Knowledge Yunxiang Li Zihan Li Kai Zhang Ruilong Dan Steven Jiang You Zhang LM&MA AI4MH 193 418 0 24 Mar 2023
Performance of a deep learning system for detection of referable diabetic retinopathy in real clinical settings Verónica Sánchez-Gutiérrez Paula Hernández-Martínez F. Muñoz-Negrete J. Engelberts Allison M. Luger M. V. Grinsven 25 3 0 11 May 2022
The Value of Measuring Trust in AI - A Socio-Technical System Perspective Michaela Benk Suzanne Tolmeijer F. Wangenheim Andrea Ferrario 37 10 0 28 Apr 2022
Agree to Disagree: When Deep Learning Models With Identical Architectures Produce Distinct Explanations Matthew Watson Bashar Awwad Shiekh Hasan Noura Al Moubayed OOD 43 23 0 14 May 2021
Model Learning with Personalized Interpretability Estimation (ML-PIE) M. Virgolin A. D. Lorenzo Francesca Randone Eric Medvet M. Wahde 65 31 0 13 Apr 2021
Deep Learning: A Critical Appraisal G. Marcus HAI VLM 137 1,042 0 02 Jan 2018
The Mythos of Model Interpretability Zachary Chase Lipton FaML 183 3,708 0 10 Jun 2016
Massively Multitask Networks for Drug Discovery Bharath Ramsundar S. Kearnes Patrick F. Riley D. Webster D. Konerding Vijay S. Pande 97 472 0 06 Feb 2015

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