Maxwell Levis, PhD

VAMC White River Junction, White River Junction, Vermont; Department of Psychiatry, Geisel School of Medicine, Hanover, New Hampshire

  • 3Articles
  • 15.3KReads1
  • 2022–2026Active
  • 13Collaborators
  • 41Citations2

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About

Maxwell Levis, PhD, is affiliated with VAMC White River Junction and the Department of Psychiatry at Geisel School of Medicine. Levis has published research focused on suicide risk assessment and posttraumatic stress disorder (PTSD) in veterans, utilizing natural language processing to evaluate psychotherapeutic services and improve suicide risk prediction through electronic health records. Contributions include systematic reviews and meta-analyses of tools for detecting suicide risk. Frequent collaborators include Brian Shiner, Bradley V. Watts, Joshua Levy, Glenn T. Gobbel, and Kallisse R. Dent.

Publications

JCP
Using Natural Language Processing to Evaluate Differences in Psychotherapeutic Services for PTSD in a Suicide-Risk-Stratified Veteran Sample
Original Research

Using Natural Language Processing to Evaluate Differences in Psychotherapeutic Services for PTSD in a Suicide-Risk-Stratified Veteran Sample

April 8, 2026

Psychotherapeutic care for PTSD differed for patients who did and did not die by suicide, suggesting the importance of developing risk-tier-specific care.
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JCP
Using Natural Language Processing in Suicide Risk Prediction
Original Research

Using Natural Language Processing in Suicide Risk Prediction

June 19, 2023

Natural language processing, a subfield of AI that evaluates textual patterns, added predictive accuracy to the current model of using structured EHR data in suicide risk prediction.
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JCP
Tools to Detect Suicide Risk
Meta-Analysis

Tools to Detect Suicide Risk

November 16, 2022

More than 20 instruments have been developed to assist in detecting suicide risk in adults. This systematic review used likelihood ratio analysis to determine the diagnostic accuracy of instruments...
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Physicians Postgraduate Press, Inc. (PPP) makes no warranties about the accuracy or completeness of any information published in The Journal of Clinical Psychiatry or other PPP materials, and disclaims liability for any use or non-use of that information. Clinicians should not rely solely on these materials and should exercise their own professional judgment when making patient care decisions on an individualized basis.

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