Artificial Intelligence, Machine Learning and Big Data in Radiation Oncology.

Hematol Oncol Clin North Am

Division of Head and Neck/Skull Base, Department of Radiation Oncology, The Arthur G. James Cancer Hospital and Richard J. Solove Research Institute, The Ohio State University Comprehensive Cancer Center, 460 West 10th Avenue, Columbus, OH 43210, USA. Electronic address:

Published: January 2025

This review explores the applications of artificial intelligence and machine learning (AI/ML) in radiation oncology, focusing on computer vision (CV) and natural language processing (NLP) techniques. We examined CV-based AI/ML in digital pathology and radiomics, highlighting the prospective clinical studies demonstrating their utility. We also reviewed NLP-based AI/ML applications in clinical documentation analysis, knowledge assessment, and quality assurance. While acknowledging the challenges for clinical adoption, this review underscores the transformative potential of AI/ML in enhancing precision, efficiency, and quality of care in radiation oncology.

Download full-text PDF

Source
http://dx.doi.org/10.1016/j.hoc.2024.12.002DOI Listing

Publication Analysis

Top Keywords

radiation oncology
12
artificial intelligence
8
intelligence machine
8
machine learning
8
learning big
4
big data
4
data radiation
4
oncology review
4
review explores
4
explores applications
4

Similar Publications

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!