The impact of AI on modern oncology from early detection to personalized cancer treatment

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Authors: Jun Li, Lei Zhang, Zhenglun Yu, Zhiye Bao, Danyang Li, Liming Wang
Cited by: 21
References: 266

Abstract

Artificial intelligence (AI) is quickly becoming a revolutionary and game-changing tool in modern oncology, with promising uses in early diagnosis and drug discovery. Machine learning (ML), deep learning (DL), reinforcement learning (RL), natural language processing (NLP), and generative models are some of the AI methods that are becoming very important for cancer care. With an emphasis on early diagnosis, mutation mapping, and drug design, this article aims to review the existing literature and investigate the role of AI technologies in oncology.

Fields of Study & Subjects

Artificial Intelligence in Healthcare and Education AI in cancer detection Radiomics and Machine Learning in Medical Imaging

Publication details

Journal / source
npj Precision Oncology
Publisher
Springer Science and Business Media LLC
Volume
10
Issue
1
Pages
69–69
Publication date
24 January 2026
Language
EN