Validity of Web-based, Self-directed, NeuroCognitive Performance Test in MCI

no code implementations • 11 Jul 2022 • P. Murali Doraiswamy, Terry E. Goldberg, Min Qian, Alexandra R. Linares, Adaora Nwosu, Izael Nino, Jessica D'Antonio, Julia Phillips, Charlie Ndouli, Caroline Hellegers, Andrew M. Michael, Jeffrey R. Petrella, Howards Andrews, Joel Sneed, Davangere P. Devanand

Our objective was to examine its relationship with the ADAS-Cog and MMSE as well as with established paper-pencil tests of cognition and daily functioning in MCI.

Skills Assessment

Artificial Intelligence and the Future of Psychiatry: Qualitative Findings from a Global Physician Survey

no code implementations • 22 Oct 2019 • Charlotte Blease, Cosima Locher, Marisa Leon-Carlyle, P. Murali Doraiswamy

This study aimed to explore psychiatrists' opinions about the potential impact of innovations in artificial intelligence and machine learning on psychiatric practice.

BIG-bench Machine Learning Descriptive

Artificial Intelligence and the Future of Psychiatry: Insights from a Global Physician Survey

no code implementations • 29 Jul 2019 • P. Murali Doraiswamy, Charlotte Blease, Kaylee Bodner

Using Sermo, a global networking platform open to verified and licensed physicians, we measured the opinions of psychiatrists about the likelihood that future autonomous technology (referred to as AI/ML) would be able to fully replace the average psychiatrist in performing 10 key tasks (e. g. mental status exam, suicidality assessment, treatment planning) carried out in mental health care.

Computers and Society