Published online Mar 15, 2021. doi: 10.5528/wjtm.v9.i1.1
Peer-review started: October 19, 2020
First decision: November 16, 2020
Revised: December 22, 2020
Accepted: March 1, 2021
Article in press: March 1, 2021
Published online: March 15, 2021
Core Tip: Artificial intelligence represents the future of healthcare particularly precision oncology for prevention, detection, risk assessment, and treatment of cancer. Application of machine learning- and deep learning-based algorithms in translational research has been demonstrated to improve accuracy of cancer diagnosis and anti-cancer drug development. Multi-disciplinary collaboration with resolution of ethical and regulatory issues of multi-modal machine intelligence are indicated for implementation of computer-assisted clinical decision on individualized patient management.