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

Journal: Hematology/oncology clinics of North America
PMID: 39779423

Abstract

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.

Authors

  • Simeng Zhu
    Department of Radiation Oncology, Henry Ford Health Systems, Detroit, MI, United States of America.
  • Sung Jun Ma
    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.
  • Alexander Farag
    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; Department of Otolaryngology-Head and Neck Surgery, Jacksonville Sinus and Nasal Institute, 836 Prudential Drive Suite 1601, Jacksonville, FL 32207, USA.
  • Timothy Huerta
    Department of Biomedical Informatics, 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.
  • Mauricio E Gamez
    Department of Radiation Oncology, Mayo Clinic, 200 First Street Southwest, Rochester, MN 55905, USA.
  • Dukagjin M Blakaj
    Department of Radiation Oncology, The Ohio State University, Columbus, Ohio, USA.

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