de Lacy Lab Artificial Intelligence for Mental Health

Research

A selection of recent publications.

Highlighted

The doctor is not in, but the Chatbot is: Utah’s experience regulating mental health AI
Nina de Lacy, Zach Boyd
npj Digital Medicine  ·  27 Mar 2026  ·  doi:10.1038/s41746-026-02580-y
A century of suicide: new insights from long-term data in the United States
de Lacy, N., Lam, W.Y., Collins, …, F.A., Smith, K.R., Pescosolido, B.
Proceedings of the National Academy of Sciences  ·  01 Jan 2026  ·  (Forthcoming)
RiskPath: Explainable deep learning for multistep biomedical prediction in longitudinal data
RiskPath: Explainable deep learning for multistep biomedical prediction in longitudinal data
Nina de Lacy, Michael Ramshaw, Wai Yin Lam
Patterns  ·  01 Aug 2025  ·  doi:10.1016/j.patter.2025.101240

All

2026

The doctor is not in, but the Chatbot is: Utah s experience regulating mental health AI
The doctor is not in, but the Chatbot is: Utah’s experience regulating mental health AI
Nina de Lacy, Zach Boyd
npj Digital Medicine  ·  27 Mar 2026  ·  doi:10.1038/s41746-026-02580-y
Precision stratification of risk for suicidal behavior in people with bipolar depression
Precision stratification of risk for suicidal behavior in people with bipolar depression
Nina de Lacy, Wai Yin Lam, Mihai Virtosu, Vikrant Deshmukh, Fernando Wilson, Bernice Pescosolido, Ken Smith
openRxiv  ·  25 Feb 2026  ·  doi:10.64898/2026.02.23.26346921
A century of suicide: new insights from long-term data in the United States
A century of suicide: new insights from long-term data in the United States
de Lacy, N., Lam, W.Y., Collins, …, F.A., Smith, K.R., Pescosolido, B.
Proceedings of the National Academy of Sciences  ·  01 Jan 2026  ·  (Forthcoming)

2025

Predicting the onset of internalizing disorders in early adolescence using deep learning optimized with AI
Predicting the onset of internalizing disorders in early adolescence using deep learning optimized with AI
Nina de Lacy, Michael Ramshaw, Wai Yin Lam
Frontiers in Psychiatry  ·  08 Oct 2025  ·  doi:10.3389/fpsyt.2025.1487894
RiskPath: Explainable deep learning for multistep biomedical prediction in longitudinal data
RiskPath: Explainable deep learning for multistep biomedical prediction in longitudinal data
Nina de Lacy, Michael Ramshaw, Wai Yin Lam
Patterns  ·  01 Aug 2025  ·  doi:10.1016/j.patter.2025.101240
29. Mapping the Dynamic Neural Exposome With AI to Explain the Emergence of Mental Illnesses and Identify Neurosensitive Periods for Treatment
29. Mapping the Dynamic Neural Exposome With AI to Explain the Emergence of Mental Illnesses and Identify Neurosensitive Periods for Treatment
Nina de Lacy, Michael Ramshaw, Brian Dickinson, Wai Yin Lam
Biological Psychiatry  ·  01 May 2025  ·  DOI:10.1016/j.biopsych.2025.02.266
behavioral-health

2023

Selectively predicting the onset of ADHD, oppositional defiant disorder, and conduct disorder in early adolescence with high accuracy
Selectively predicting the onset of ADHD, oppositional defiant disorder, and conduct disorder in early adolescence with high accuracy
Nina de Lacy, Michael J. Ramshaw
Frontiers in Psychiatry  ·  08 Dec 2023  ·  doi:10.3389/fpsyt.2023.1280326
Predicting new onset thought disorder in early adolescence with optimized deep learning implicates environmental-putamen interactions
Predicting new onset thought disorder in early adolescence with optimized deep learning implicates environmental-putamen interactions
Nina de Lacy, Michael J. Ramshaw
openRxiv  ·  24 Oct 2023  ·  doi:10.1101/2023.10.23.23297438
Predicting individual cases of major adolescent psychiatric conditions with artificial intelligence
Predicting individual cases of major adolescent psychiatric conditions with artificial intelligence
Nina de Lacy, Michael J. Ramshaw, Elizabeth McCauley, Kathleen F. Kerr, Joan Kaufman, J. Nathan Kutz
Translational Psychiatry  ·  10 Oct 2023  ·  doi:10.1038/s41398-023-02599-9
Predicting the onset of internalizing disorders in early adolescence using deep learning optimized with AI
Predicting the onset of internalizing disorders in early adolescence using deep learning optimized with AI
Nina de Lacy, Michael J. Ramshaw
openRxiv  ·  22 Aug 2023  ·  doi:10.1101/2023.08.21.23294377
Identifying selective predictors of ADHD, Oppositional Defiant and Conduct Disorder onset in early adolescence with optimized deep learning
Identifying selective predictors of ADHD, Oppositional Defiant and Conduct Disorder onset in early adolescence with optimized deep learning
Nina de Lacy, Michael J. Ramshaw
openRxiv  ·  22 Aug 2023  ·  doi:10.1101/2023.08.19.23294322

2022

Integrated Evolutionary Learning: An Artificial Intelligence Approach to Joint Learning of Features and Hyperparameters for Optimized, Explainable Machine Learning
Integrated Evolutionary Learning: An Artificial Intelligence Approach to Joint Learning of Features and Hyperparameters for Optimized, Explainable Machine Learning
Nina de Lacy, Michael J. Ramshaw, J. Nathan Kutz
Frontiers in Artificial Intelligence  ·  05 Apr 2022  ·  doi:10.3389/frai.2022.832530

2021

Sex gender differences in the neural substrate of long-term memory
Sex/gender differences in the neural substrate of long-term memory
Nina de Lacy
Cognitive Neuroscience  ·  31 Jan 2021  ·  doi:10.1080/17588928.2020.1853089

2020

Sex-related differences in brain dynamism at rest as neural correlates of positive and negative valence system constructs
Sex-related differences in brain dynamism at rest as neural correlates of positive and negative valence system constructs
Nina de Lacy, J. Nathan Kutz, Vince D. Calhoun
Cognitive Neuroscience  ·  26 Jul 2020  ·  doi:10.1080/17588928.2020.1793752

2019

Sex-related differences in intrinsic brain dynamism and their neurocognitive correlates
Sex-related differences in intrinsic brain dynamism and their neurocognitive correlates
Nina de Lacy, Elizabeth McCauley, J. Nathan Kutz, Vince D. Calhoun
NeuroImage  ·  01 Nov 2019  ·  doi:10.1016/j.neuroimage.2019.116116
Multilevel Mapping of Sexual Dimorphism in Intrinsic Functional Brain Networks
Multilevel Mapping of Sexual Dimorphism in Intrinsic Functional Brain Networks
Nina de Lacy, Elizabeth McCauley, J. Nathan Kutz, Vince D. Calhoun
Frontiers in Neuroscience  ·  05 Apr 2019  ·  doi:10.3389/fnins.2019.00332
Transient increased thalamic-sensory connectivity and decreased whole-brain dynamism in autism
Transient increased thalamic-sensory connectivity and decreased whole-brain dynamism in autism
Zening Fu, Yiheng Tu, Xin Di, Yuhui Du, Jing Sui, Bharat B. Biswal, Zhiguo Zhang, N. de Lacy, V.D. Calhoun
NeuroImage  ·  01 Apr 2019  ·  doi:10.1016/j.neuroimage.2018.06.003
Longitudinal Clinical and Neuroimaging Evaluation of Symptomatic Concussion in 10- to 14-Year-Old Youth Athletes
Longitudinal Clinical and Neuroimaging Evaluation of Symptomatic Concussion in 10- to 14-Year-Old Youth Athletes
Christine L. Mac Donald, Jason Barber, Jason Wright, David Coppel, Nina De Lacy, …, Suzanne Peck, Chris Panks, Samantha Sun, Kody Zalewski, Nancy Temkin
Journal of Neurotrauma  ·  15 Jan 2019  ·  doi:10.1089/neu.2018.5629
Dynamic connectivity and the effects of maturation in youth with attention deficit hyperactivity disorder
Dynamic connectivity and the effects of maturation in youth with attention deficit hyperactivity disorder
Nina de Lacy, Vince D. Calhoun
Network Neuroscience  ·  01 Jan 2019  ·  doi:10.1162/netn_a_00063

2018

Quantitative Volumetric Imaging and Clinical Outcome Characterization of Symptomatic Concussion in 10- to 14-Year-Old Adolescent Athletes
Quantitative Volumetric Imaging and Clinical Outcome Characterization of Symptomatic Concussion in 10- to 14-Year-Old Adolescent Athletes
Christine L. Mac Donald, Jason Barber, Jason Wright, David Coppel, Nina De Lacy, …, Suzanne Peck, Chris Panks, Kody Zalewski, Samantha Sun, Nancy Temkin
Journal of Head Trauma Rehabilitation  ·  01 Nov 2018  ·  doi:10.1097/HTR.0000000000000381
Intellectual Disability and Psychotropic Medications
Intellectual Disability and Psychotropic Medications
Lisa Herzig, Nina de Lacy, George Capone, Jenny Radesky
Journal of Developmental & Behavioral Pediatrics  ·  01 Sep 2018  ·  doi:10.1097/DBP.0000000000000613
Novel i in silico i multivariate mapping of intrinsic and anticorrelated connectivity to neurocognitive functional maps supports the maturational hypothesis of ADHD
Novel in silico multivariate mapping of intrinsic and anticorrelated connectivity to neurocognitive functional maps supports the maturational hypothesis of ADHD
Nina de Lacy, Ian Kodish, Srinivas Rachakonda, Vince D. Calhoun
Human Brain Mapping  ·  22 Apr 2018  ·  doi:10.1002/hbm.24187

2017

Disruption to control network function correlates with altered dynamic connectivity in the wider autism spectrum
Disruption to control network function correlates with altered dynamic connectivity in the wider autism spectrum
N. de Lacy, D. Doherty, B.H. King, S. Rachakonda, V.D. Calhoun
NeuroImage: Clinical  ·  01 Jan 2017  ·  doi:10.1016/j.nicl.2017.05.024

2015

Joubert syndrome: a model for untangling recessive disorders with extreme genetic heterogeneity
Joubert syndrome: a model for untangling recessive disorders with extreme genetic heterogeneity
R Bachmann-Gagescu, J C Dempsey, I G Phelps, B J O’Roak, D M Knutzen, …, P Chance, M A Parisi, I A Glass, J Shendure, D Doherty
Journal of Medical Genetics  ·  19 Jun 2015  ·  doi:10.1136/jmedgenet-2015-103087

2014

Psychiatric Assessment of Severe Presentations in Autism Spectrum Disorders and Intellectual Disability
Psychiatric Assessment of Severe Presentations in Autism Spectrum Disorders and Intellectual Disability
Bryan H. King, Nina de Lacy, Matthew Siegel
Child and Adolescent Psychiatric Clinics of North America  ·  01 Jan 2014  ·  doi:10.1016/j.chc.2013.07.001