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Justin Taylor, MD discusses how patients use AI to seek cancer information, its accuracy and limitations, and the implications for hematologic malignancy care.
Welcome to OncLive On Air®!
OncLive On Air® is a podcast from OncLive®, which provides oncology professionals with the resources and information they need to provide the best patient care. In both digital and print formats, OncLive covers every angle of oncology practice, from new technology to treatment advances to important regulatory decisions.
In today’s episode, we had the pleasure of speaking with Justin Taylor, MD, an associate professor in the Division of Hematology at the University of Miami Miller School of Medicine, about the growing role of artificial intelligence in cancer information–seeking and what this means for clinicians caring for patients with hematologic malignancies. Dr Taylor’s recent work explores how patients are increasingly turning to AI tools to better understand their diagnoses and treatments, and why oncologists must be aware of the accuracy, limitations, and clinical implications of these technologies.
In our exclusive interview, Dr Taylor discussed the methodology behind his assessment of AI-generated responses to both general and highly disease-specific hematology questions; key findings regarding where chatbots performed reliably and where accuracy declined; and how these insights should inform patient education, communication, and shared decision-making. He also highlighted opportunities and safeguards for integrating AI tools into clinical encounters—from helping patients frame informed questions to supporting documentation workflows—while underscoring the continued need for physician oversight, especially when patients seek information about newly approved therapies or nuanced clinical scenarios.
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