Medical Xpress May 16, 2022
A new observational study from Vanderbilt University Medical Center points to solutions for efficient clinical prediction of suicide attempt or suicidal thinking in adults.
Reported May 13 in JAMA Network Open by Drew Wilimitis, Colin Walsh, MD, MA, and colleagues, the study compares an artificial intelligence algorithm with face-to-face screening.
Predictions improved across the board when these two methods were combined, producing a so-called ensemble learning method.
“This test is a rare examination of the synergy between real-time AI and face-to-face screening for estimating suicide risk,” said Walsh, associate professor of Biomedical Informatics, Medicine and Psychiatry and Behavioral Sciences.
Suicide has been on the rise in the U.S. for a generation and is estimated to claim the lives of 14...
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