A systematic review of trustworthy and explainable artificial intelligence in healthcare: Assessment of quality, bias risk, and data fusion-Reference-Cited by-同舟云学术

A systematic review of trustworthy and explainable artificial intelligence in healthcare: Assessment of quality, bias risk, and data fusion

Published:2023-08 Issue: Volume:96 Page:156-191
ISSN:1566-2535
Container-title:Information Fusion
language:en
Short-container-title:Information Fusion

Author:

Albahri A.S.^ORCID,Duhaim Ali M.,Fadhel Mohammed A.,Alnoor Alhamzah,Baqer Noor S.,Alzubaidi Laith,Albahri O.S.,Alamoodi A.H.,Bai Jinshuai,Salhi Asma,Santamaría Jose,Ouyang Chun,Gupta Ashish,Gu Yuantong,Deveci Muhammet

Funder

Australian Research Council

Queensland University of Technology

Publisher

Elsevier BV

Subject

Hardware and Architecture,Information Systems,Signal Processing,Software

Reference118 articles.

1. Artificial intelligence in healthcare;Yu;Nat. Biomed. Eng.,2018

2. IoT-based telemedicine for disease prevention and health promotion: state-of-the-art;Albahri;J. Netw. Comput. Appl.,2021

3. Artificial intelligence in healthcare: review and prediction case studies;Rong;Engineering,2020

4. Explainability for artificial intelligence in healthcare: a multidisciplinary perspective;Amann;BMC Med. Inform. Decis. Mak.,2020

5. The automated lab;Hayden;Nature,2014

Cited by 172 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Dempster–Shafer theory-based information fusion for natural disaster emergency management: A systematic literature review;Information Fusion;2024-12

2. Assessing Community Needs in Disasters: Transfer Learning for Fusing Limited Georeferenced Data from Crowdsourced Applications on the Community Level;Journal of Management in Engineering;2024-11

3. Leveraging AI for the diagnosis and treatment of autism spectrum disorder: Current trends and future prospects;Asian Journal of Psychiatry;2024-11

4. Explainable AI-driven IoMT fusion: Unravelling techniques, opportunities, and challenges with Explainable AI in healthcare;Information Fusion;2024-10

5. Generative AI for Threat Hunting and Behaviour Analysis;Advances in Digital Crime, Forensics, and Cyber Terrorism;2024-09-13