AI Makes Inroads Into Oncology Practice

Oncology practices large and small are starting to tap into the power of data analytics and artificial intelligence (AI) to help identify patients at risk of relapse or adverse effects (AEs) and to assist in making clinical decisions on care.

Head and neck cancer (HNC) is the seventh most common type of cancer worldwide.1 Surgery involving resection and free flap reconstruction is a mainstay of HNC treatment. Multimodal care pathways using Enhanced Recovery After Surgery (ERAS) guidelines have transformed perioperative care in HNC,2 and the overall goal of ERAS is to achieve early functional recovery for patients undergoing major surgery. ERAS is a set of evidence-based recommendations that span preoperative, intraoperative, and postoperative care..

About the author


Leave a Comment