Richard Jiang
Editor
Recent Advances in AI-enabled Automated Medical Diagnosis
Contributors
Li Zhang
Editor
Hua-Liang Wei
Editor
Danny Crookes
Editor
Professor Paul Chazot paul.chazot@durham.ac.uk
Editor
Abstract
Developments in deep learning in the past decade have led to phenomenal growth in AI-based automated medical diagnosis, opening a door to a new era of both medical research and medical industry. It is a golden age for researchers involved in the development and application of advanced machine learning techniques for medical and clinical problems. This book captures the most recent important advances in this cross-disciplinary topic and brings the latest advances to a wide audience including experts, researchers, students, industry developers and medical services.
Citation
Jiang, R., Zhang, L., Wei, H.-L., Crookes, D., & Chazot, P. (Eds.). (2022). Recent Advances in AI-enabled Automated Medical Diagnosis. Routledge
Book Type | Edited Book |
---|---|
Online Publication Date | Oct 20, 2022 |
Publication Date | 2022 |
Deposit Date | Jul 15, 2022 |
Publisher | Routledge |
Edition | 1st ed. |
Public URL | https://durham-repository.worktribe.com/output/1128258 |
Publisher URL | https://www.routledge.com/Recent-Advances-in-AI-enabled-Automated-Medical-Diagnosis/Jiang-Crookes-Wei-Zhang-Chazot/p/book/9781032008431# |
You might also like
Confidence of practitioners to support self-management of pain: A multidisciplinary survey
(2023)
Journal Article
Downloadable Citations
About Durham Research Online (DRO)
Administrator e-mail: dro.admin@durham.ac.uk
This application uses the following open-source libraries:
SheetJS Community Edition
Apache License Version 2.0 (http://www.apache.org/licenses/)
PDF.js
Apache License Version 2.0 (http://www.apache.org/licenses/)
Font Awesome
SIL OFL 1.1 (http://scripts.sil.org/OFL)
MIT License (http://opensource.org/licenses/mit-license.html)
CC BY 3.0 ( http://creativecommons.org/licenses/by/3.0/)
Powered by Worktribe © 2025
Advanced Search