CheXplain: Enabling Physicians to Explore and UnderstandData-Driven, AI-Enabled Medical Imaging Analysis

15 January 2020

Papers citing "CheXplain: Enabling Physicians to Explore and UnderstandData-Driven, AI-Enabled Medical Imaging Analysis"

45 / 45 papers shown

Title
Causal Disentanglement for Robust Long-tail Medical Image Generation Weizhi Nie Zichun Zhang Weijie Wang Bruno Lepri Anan Liu Nicu Seb DiffM MedIm OOD CML 41 0 0 20 Apr 2025
Human-centered explanation does not fit all: The interplay of sociotechnical, cognitive, and individual factors in the effect AI explanations in algorithmic decision-making Yongsu Ahn Yu-Ru Lin Malihe Alikhani Eunjeong Cheon 111 0 0 17 Feb 2025
Towards Multi-dimensional Explanation Alignment for Medical Classification Lijie Hu Songning Lai Wenshuo Chen Hongru Xiao Hongbin Lin Lu Yu Jingfeng Zhang Di Wang 35 0 0 28 Oct 2024
Towards Human-centered Design of Explainable Artificial Intelligence (XAI): A Survey of Empirical Studies Shuai Ma 27 0 0 28 Oct 2024
Comparing Zealous and Restrained AI Recommendations in a Real-World Human-AI Collaboration Task Chengyuan Xu Kuo-Chin Lien Tobias Höllerer 27 10 0 06 Oct 2024
"It depends": Configuring AI to Improve Clinical Usefulness Across Contexts H. D. Zając Jorge Miguel Neves Ribeiro Silvia Ingala Simona Gentile Ruth Wanjohi S. N. Gitau J.F. Carlsen M. Nielsen T. O. Andersen 36 5 0 27 May 2024
MiMICRI: Towards Domain-centered Counterfactual Explanations of Cardiovascular Image Classification Models G. Guo Lifu Deng A. Tandon Alex Endert Bum Chul Kwon 37 2 0 24 Apr 2024
Exploring Algorithmic Explainability: Generating Explainable AI Insights for Personalized Clinical Decision Support Focused on Cannabis Intoxication in Young Adults Tongze Zhang Tammy Chung Anind Dey Sang Won Bae 21 3 0 22 Apr 2024
Towards Human-AI Deliberation: Design and Evaluation of LLM-Empowered Deliberative AI for AI-Assisted Decision-Making Shuai Ma Qiaoyi Chen Xinru Wang Chengbo Zheng Zhenhui Peng Ming Yin Xiaojuan Ma ELM 26 20 0 25 Mar 2024
Multimodal Healthcare AI: Identifying and Designing Clinically Relevant Vision-Language Applications for Radiology Nur Yildirim Hannah Richardson Maria T. A. Wetscherek Junaid Bajwa Joseph Jacob ... Ozan Oktay M. Lungren Javier Alvarez-Valle A. Nori Anja Thieme LM&MA 65 44 0 22 Feb 2024
3DPFIX: Improving Remote Novices' 3D Printing Troubleshooting through Human-AI Collaboration Nahyun Kwon Tong Sun Yuyang Gao Liang Zhao Xu Wang Jeeeun Kim S. Hong 11 2 0 29 Jan 2024
Diffusion Models for Counterfactual Generation and Anomaly Detection in Brain Images Alessandro Fontanella Grant Mair Joanna M. Wardlaw Emanuele Trucco Amos Storkey DiffM MedIm 29 21 0 03 Aug 2023
Using ScrutinAI for Visual Inspection of DNN Performance in a Medical Use Case Rebekka Görge E. Haedecke Michael Mock 14 1 0 02 Aug 2023
A Meta-heuristic Approach to Estimate and Explain Classifier Uncertainty A. Houston Georgina Cosma 23 1 0 20 Apr 2023
Explainable AI And Visual Reasoning: Insights From Radiology Rob Kaufman David Kirsh 22 5 0 06 Apr 2023
XAIR: A Framework of Explainable AI in Augmented Reality Xuhai Xu Anna Yu Tanya R. Jonker Kashyap Todi Feiyu Lu ... Narine Kokhlikyan Fulton Wang P. Sorenson Sophie Kahyun Kim Hrvoje Benko 28 49 0 28 Mar 2023
Deliberating with AI: Improving Decision-Making for the Future through Participatory AI Design and Stakeholder Deliberation Angie Zhang Olympia Walker Kaci Nguyen Jiajun Dai Anqing Chen Min Kyung Lee 17 44 0 22 Feb 2023
Charting the Sociotechnical Gap in Explainable AI: A Framework to Address the Gap in XAI Upol Ehsan Koustuv Saha M. D. Choudhury Mark O. Riedl 18 57 0 01 Feb 2023
Selective Explanations: Leveraging Human Input to Align Explainable AI Vivian Lai Yiming Zhang Chacha Chen Q. V. Liao Chenhao Tan 16 43 0 23 Jan 2023
The Entoptic Field Camera as Metaphor-Driven Research-through-Design with AI Technologies J. Benjamin Heidi R. Biggs Arne Berger Julija Rukanskait.e Michael Heidt Nick Merrill James Pierce Joseph Lindley 27 19 0 23 Jan 2023
Context-dependent Explainability and Contestability for Trustworthy Medical Artificial Intelligence: Misclassification Identification of Morbidity Recognition Models in Preterm Infants Isil Guzey Ozlem Ucar N. A. Çiftdemir B. Acunaş 23 1 0 17 Dec 2022
Seamful XAI: Operationalizing Seamful Design in Explainable AI Upol Ehsan Q. V. Liao Samir Passi Mark O. Riedl Hal Daumé 22 20 0 12 Nov 2022
An Accurate and Explainable Deep Learning System Improves Interobserver Agreement in the Interpretation of Chest Radiograph Hieu H. Pham H. Q. Nguyen H. T. Nguyen T. Le M. Dao MedIm 30 14 0 06 Aug 2022
Toward a Human-Centered AI-assisted Colonoscopy System Hsiang-Ting Chen Yuan Zhang Gustavo Carneiro Seon Ho Shin Rajvinder Singh 19 0 0 04 Aug 2022
Towards the Use of Saliency Maps for Explaining Low-Quality Electrocardiograms to End Users Ana Lucic Sheeraz Ahmad Amanda Furtado Brinhosa Q. V. Liao Himani Agrawal Umang Bhatt K. Kenthapadi Alice Xiang Maarten de Rijke N. Drabowski 10 2 0 06 Jul 2022
Connecting Algorithmic Research and Usage Contexts: A Perspective of Contextualized Evaluation for Explainable AI Q. V. Liao Yunfeng Zhang Ronny Luss Finale Doshi-Velez Amit Dhurandhar 21 81 0 22 Jun 2022
Exploring How Anomalous Model Input and Output Alerts Affect Decision-Making in Healthcare Marissa Radensky Dustin Burson Rajya Bhaiya Daniel S. Weld 19 0 0 27 Apr 2022
User Trust on an Explainable AI-based Medical Diagnosis Support System Yao Rong N. Castner Efe Bozkir Enkelejda Kasneci 11 8 0 26 Apr 2022
Uncalibrated Models Can Improve Human-AI Collaboration Kailas Vodrahalli Tobias Gerstenberg James Y. Zou HAI 15 29 0 12 Feb 2022
Explainable Medical Imaging AI Needs Human-Centered Design: Guidelines and Evidence from a Systematic Review Haomin Chen Catalina Gomez Chien-Ming Huang Mathias Unberath 25 121 0 21 Dec 2021
Teaching Humans When To Defer to a Classifier via Exemplars Hussein Mozannar Arvindmani Satyanarayan David Sontag 28 43 0 22 Nov 2021
Clinical Evidence Engine: Proof-of-Concept For A Clinical-Domain-Agnostic Decision Support Infrastructure Bojian Hou Hao Zhang Gur Ladizhinsky Gur Ladizhinsky Stephen Yang Volodymyr Kuleshov Fei Wang Qian Yang 9 4 0 31 Oct 2021
Human-Centered Explainable AI (XAI): From Algorithms to User Experiences Q. V. Liao R. Varshney 15 224 0 20 Oct 2021
Explanation Strategies as an Empirical-Analytical Lens for Socio-Technical Contextualization of Machine Learning Interpretability J. Benjamin C. Kinkeldey Claudia Muller-Birn Tim Korjakow Eva-Maria Herbst 65 8 0 24 Sep 2021
Deploying clinical machine learning? Consider the following... Charles Lu Kenglun Chang Praveer Singh S. Pomerantz S. Doyle Sujay S Kakarmath Christopher P. Bridge Jayashree Kalpathy-Cramer 49 4 0 14 Sep 2021
Fair Conformal Predictors for Applications in Medical Imaging Charles Lu A. Lemay Ken Chang K. Hoebel Jayashree Kalpathy-Cramer MedIm 18 63 0 09 Sep 2021
Do Humans Trust Advice More if it Comes from AI? An Analysis of Human-AI Interactions Kailas Vodrahalli Roxana Daneshjou Tobias Gerstenberg James Y. Zou 34 68 0 14 Jul 2021
Question-Driven Design Process for Explainable AI User Experiences Q. V. Liao Milena Pribić Jaesik Han Sarah Miller Daby M. Sow 15 52 0 08 Apr 2021
Intuitively Assessing ML Model Reliability through Example-Based Explanations and Editing Model Inputs Harini Suresh Kathleen M. Lewis John Guttag Arvind Satyanarayan FAtt 34 25 0 17 Feb 2021
The human-AI relationship in decision-making: AI explanation to support people on justifying their decisions J. Ferreira Mateus de Souza Monteiro 11 23 0 10 Feb 2021
Designing AI for Trust and Collaboration in Time-Constrained Medical Decisions: A Sociotechnical Lens Maia L. Jacobs Jeffrey He Melanie F. Pradier Barbara D. Lam Andrew C Ahn T. McCoy R. Perlis Finale Doshi-Velez Krzysztof Z. Gajos 49 144 0 01 Feb 2021
Understanding the Effect of Out-of-distribution Examples and Interactive Explanations on Human-AI Decision Making Han Liu Vivian Lai Chenhao Tan 25 116 0 13 Jan 2021
XAlgo: a Design Probe of Explaining Algorithms' Internal States via Question-Answering Juan Rebanal Yuqi Tang Jordan Combitsis Xiang Ánthony' Chen 19 3 0 14 Jul 2020
Lessons Learned from Designing an AI-Enabled Diagnosis Tool for Pathologists H. Gu Jingbin Huang Lauren Hung Xiang Ánthony' Chen 11 49 0 23 Jun 2020
Towards A Rigorous Science of Interpretable Machine Learning Finale Doshi-Velez Been Kim XAI FaML 251 3,683 0 28 Feb 2017