Researchers from the University of British Columbia and BC Cancer have created an AI model that predicts cancer patient survival with greater accuracy and using more readily accessible data compared to previous methods. The AI model utilizes natural language processing (NLP), a field of AI that c
Predicting cancer patient survival rates is a crucial aspect of cancer treatment and management. Accurately forecasting a patient’s prognosis helps medical professionals make informed decisions about the most appropriate course of action and can also aid in the development of personalized treatment plans.
The model developed by Dr. Nunez and his collaborators, which includes researchers from BC Cancer and UBC’s departments of computer science and psychiatry, is able to pick up on unique clues within a patient’s initial consultation document to provide a more nuanced assessment. It is also applicable to all cancers, whereas previous models have been limited to certain cancer types.
The researchers trained and tested the model using data from 47,625 patients across all six BC Cancer sites located across British Columbia. To protect privacy, all patient data remained stored securely at BC Cancer and was presented anonymously. Unlike chart reviews by human research assistants, the new AI approach has the added benefit of maintaining complete confidentiality of patient records.
Dr. Nunez is a recipient of the 2022/23 UBC Institute of Mental Health Marshall Fellowship, and is also supported by funding from the BC Cancer Foundation. In another stream of work, Dr. Nunez is examining how to facilitate the best-possible psychiatric and counseling care for cancer patients using advanced AI techniques. He envisions a future where AI is integrated into many aspects of the health system to improve patient care.
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