Leveraging Artificial Intelligence to Monitor Patients With Prostate Cancer in a Retrospective Cohort of Radiation Oncology Clinic Patients.

Authors

Richard Nishan Boyajian, Molly Hagen, Sugato Bagchi, Shilpa Mahatma, Ashleigh Kowtoniuk, Quoc-Dien Trinh, Tarun Kumar, Paul L Nguyen

Published in

Clinical journal of oncology nursing. Volume 30. Issue 5. Pages 367-374. Sep 30, 2026.

Abstract

The U.S. oncology workforce is not increasing at the same pace as the cancer survivor population. Cancer care requires extended coordination across multiple disciplines. Oncology teams need technological solutions to support patient surveillance and meet growing care demands.
The purpose of this study was to develop and test an artificial intelligence (AI) approach to identify and track care states in patients with prostate cancer.
The study examined data from a retrospective cohort of 180 patients to develop ground truth care state assignments with parameters set by clinicians, then developed an AI model that set its own parameters for care state assignment and tested it on this cohort dataset. The study assessed the agreement between assignments made by the AI model and clinician specialists.
The AI model produced care state assignments for all 180 patients in less than one second, and agreement with the clinician-assigned care state was 95%.

PMID:
42832322
Bibliographic data and abstract were imported from PubMed on 06 Oct 2026.

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