A new paper from the Bioethics Research Center at WashU Medicine, published in Frontiers in Neurology and led by Tristan McIntosh, PhD, an assistant professor in the Division of General Internal Medicine, offers one of the first in-depth looks at how the people most affected by glioblastoma — patients, their caregivers, and the neurosurgeons who treat them — feel about using machine learning (ML) to help predict prognosis and guide surgical decisions.
New study reveals what patients, caregivers, and neurosurgeons really think about machine learning-assisted brain cancer care
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