A Review on Explainable Artificial Intelligence for Healthcare: Why, How, and When?

10 April 2023

Papers citing "A Review on Explainable Artificial Intelligence for Healthcare: Why, How, and When?"

16 / 16 papers shown

Title
Investigating the Duality of Interpretability and Explainability in Machine Learning Moncef Garouani Josiane Mothe Ayah Barhrhouj Julien Aligon AAML 42 2 0 27 Mar 2025
CoE: Chain-of-Explanation via Automatic Visual Concept Circuit Description and Polysemanticity Quantification Wenlong Yu Qilong Wang Chuang Liu Dong Li Q. Hu LRM 60 0 0 19 Mar 2025
Explainable Artificial Intelligence: A Survey of Needs, Techniques, Applications, and Future Direction Melkamu Mersha Khang Lam Joseph Wood Ali AlShami Jugal Kalita XAI AI4TS 67 28 0 30 Aug 2024
Interpretable Machine Learning for Survival Analysis Sophie Hanna Langbein Mateusz Krzyzinski Mikolaj Spytek Hubert Baniecki P. Biecek Marvin N. Wright 43 2 0 15 Mar 2024
QUCE: The Minimisation and Quantification of Path-Based Uncertainty for Generative Counterfactual Explanations J. Duell M. Seisenberger Hsuan-Wei Fu Xiuyi Fan UQCV BDL 40 1 0 27 Feb 2024
StyleCap: Automatic Speaking-Style Captioning from Speech Based on Speech and Language Self-supervised Learning Models Kazuki Yamauchi Yusuke Ijima Yuki Saito 33 8 0 28 Nov 2023
The Significance of Machine Learning in Clinical Disease Diagnosis: A Review S. M. A. Rahman Sifat Ibtisum Ehsan Bazgir Tumpa Barai LM&MA 16 19 0 25 Oct 2023
Deciphering knee osteoarthritis diagnostic features with explainable artificial intelligence: A systematic review Yun Xin Teoh Alice Othmani Siew Li Goh Juliana Usman K. Lai 24 2 0 18 Aug 2023
Explainable AI in Orthopedics: Challenges, Opportunities, and Prospects Soheyla Amirian Luke A. Carlson Matthew F. Gong I. Lohse K. Weiss J. Plate A. Tafti 23 3 0 09 Aug 2023
CARNA: Characterizing Advanced heart failure Risk and hemodyNAmic phenotypes using learned multi-valued decision diagrams Josephine Lamp Yu-Xian Wu Steven Lamp Prince Afriyie K. Bilchick Lu Feng S. Mazimba 16 0 0 11 Jun 2023
Unbox the Black-box for the Medical Explainable AI via Multi-modal and Multi-centre Data Fusion: A Mini-Review, Two Showcases and Beyond Guang Yang Qinghao Ye Jun Xia 92 480 0 03 Feb 2021
From Bit To Bedside: A Practical Framework For Artificial Intelligence Product Development In Healthcare David C. Higgins V. Madai 16 67 0 23 Mar 2020
SurvLIME: A method for explaining machine learning survival models M. Kovalev Lev V. Utkin E. Kasimov 108 89 0 18 Mar 2020
Methods for Interpreting and Understanding Deep Neural Networks G. Montavon Wojciech Samek K. Müller FaML 234 2,238 0 24 Jun 2017
Towards A Rigorous Science of Interpretable Machine Learning Finale Doshi-Velez Been Kim XAI FaML 254 3,684 0 28 Feb 2017
A Survey on Deep Learning in Medical Image Analysis G. Litjens Thijs Kooi B. Bejnordi A. Setio F. Ciompi Mohsen Ghafoorian Jeroen van der Laak Bram van Ginneken C. I. Sánchez OOD 295 10,618 0 19 Feb 2017