AI for Oncology

In this episode, experts discuss how artificial intelligence tools can enhance clinical trial recruitment, improve workforce efficiency, and more.

Arturo Loaiza-Bonilla, MD, discusses artificial intelligence in cancer care and clinical trials.

AI models like GigaPath may pave the way for other predictive models in cancer, as it deciphers diagnoses and mutations in a more granular method.

Krishnansu S. Tewari, MD, details the current and possible future applications of AI in cancer care as well as the limitations of the technology.

An artificial intelligence-based smartphone app used by primary care physicians showed high diagnostic accuracy in detecting cutaneous melanoma.

An artificial intelligence-based navigation tool may be used to call patients who previously missed their colonoscopy appointment with the goal that they will reschedule and attend the new appointment.

A survey of practicing oncologists in the United States revealed that clinicians have ethical concerns surrounding the use of AI in cancer care.

Speculation on the impact of large language models or artificial intelligence in the future of health care is commonplace, causing excitement and concern.

We consider artificial intelligence hype vs reality, focusing on predictive modeling to answer medical questions about diagnosis, treatment choice, etc.

Peter A. Humphrey, MD, PhD, presents on the standing of artificial intelligence in prostate cancer pathology.

Jacob Shreve, MD, MS, highlights the intersection between artificial intelligence and personalized medicine, as well as its potential utility in gastrointestinal cancers.