Applying Artificial Intelligence to Gynecologic Oncology: A Review.

Journal: Obstetrical & gynecological survey
Published Date:

Abstract

IMPORTANCE: Artificial intelligence (AI) will play an increasing role in health care. In gynecologic oncology, it can advance tailored screening, precision surgery, and personalized targeted therapies.

Authors

  • David Pierce Mysona
    Resident Physician, University of North Carolina, Chapel Hill, NC.
  • Daniel S Kapp
    Professor, Department of Radiation Oncology, Stanford University School of Medicine, Stanford, CA.
  • Atharva Rohatgi
    Undergraduate Student, University of California-Davis, Davis, CA.
  • Danny Lee
    Undergraduate Student, University of California-Berkeley, Berkeley, CA.
  • Amandeep K Mann
    Quantitative Research Analyst, Palo Alto Medical Foundation Research Institute, Palo Alto, CA.
  • Paul Tran
    MD/Phd Student.
  • Lynn Tran
    MD/Phd Student.
  • Jin-Xiong She
    Professor and Director of the Center for Biotechnology and Genomic Medicine, Medical College of Georgia, Augusta, GA.
  • John K Chan
    Director of Gynecologic Oncology, Palo Alto Medical Foundation Research Institute, Palo Alto, CA.