Publications.

Selected peer-reviewed papers, preprints, and conference presentations from the AIMHealth group, listed newest first.

Year All 2025 2024 2023
2025
14 publications
01
Integrating Expert Knowledge into Large Language Models Improves Performance for Psychiatric Reasoning and Diagnosis
Sarma, K. V., Hanss, K. E., Halls, A. J. M., Krystal, A., Becker, D. F., Glowinski, A. L., Butte, A. J. Psychiatry Research · 2025
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02
Competence or confidence? Assessing the accuracy, reliability, and confidence of large language models in psychiatry
Hanss, K. E., Sarma, K. V., Glowinski, A. L., Krystal, A., Saunders, R., Halls, A. J. M., Gorrell, S., Reilly, E. JMIR · 2025
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journal
03
Quantifying device type and handedness biases in a remote Parkinson's disease AI-powered assessment
Tumpa, Z. N., Zawad, M. R. S., Sollis, L., Parab, S., Chen, I. Y., Washington, P. NPJ Digital Medicine · 2025
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journal
04
"You're Not Crazy": A Case of New Onset AI-Associated Psychosis
Pierre, J. M., Gaeta, B., Raghavan, G., Sarma, K. V. Innovations in Clinical Neuroscience · 2025
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journal
05
Simulated Reasoning and Self-Verification in Generalist Large Language Models for Psychiatric Diagnostic Performance: Cross-Sectional Study
Sarma, K. V., Hanss, K. E., Halls, A., Becker, D., Glowinski, A., Krystal, A. medRxiv [Preprint] · 2025
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preprint
06
Characterizing Dementia Phenotypes from Unstructured EHR Notes with Generative AI and Interpretable Machine Learning
Tang, A. S., Zeng, B. Z. D., Rankin, K. P., Miller, B., Gorno-Tempini, M. L., Seeley, W. W., Rosen, H. J., Rabinovici, G. D., Oskotsky, T. T., Sirota, M., Pinheiro-Chagas, P. medRxiv · 2025
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preprint
07
Agentic Generative Artificial Intelligence System for Classification of Pathology-Confirmed Primary Progressive Aphasia Variants
Gallingani, C., Miller, Z. A., Mandelli, M. L., Rosen, H. J., Ezzes, Z., Lin, M., Rodriguez, D., Seeley, W. W., Miller, B., Gorno-Tempini, M. L., Pinheiro-Chagas, P. medRxiv · 2025
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preprint
08
When Testing AI Tests Us: Safeguarding Mental Health on the Digital Frontlines
Pendse, S. R., Gergle, D., Kornfield, R., Meyerhoff, J., Mohr, D., Suh, J., Wescott, A., Williams, C., Schleider, J. ACM Conference on Fairness, Accountability, and Transparency (FAccT) · 2025
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conference
09
The Typing Cure: Experiences with Large Language Model Chatbots for Mental Health Support
Song, I., Pendse, S. R., Kumar, N., De Choudhury, M. Proceedings of the ACM on Human-Computer Interaction (PACM HCI), CSCW · 2025
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conference
10
The Role of Partisan Culture in Mental Health Language Online
Pendse, S. R., Rochford, B., Kumar, N., De Choudhury, M. Proceedings of the ACM on Human-Computer Interaction (PACM HCI), CSCW · 2025
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conference
11
Implicit Gender, Racial, and Ethnic Biases in Large Language Models: An Audit Study of Automated Psychiatric Diagnoses
Pendse, S. R., Jain, M., Kumar, N., De Choudhury, M. Preprint · 2025
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preprint
12
Leveraging Large Language Models to Code Content Fidelity in Virtual School-Based Behavioral Parent Training
Langfus J, Hanss K, Chung S, Nili A, Haack L, Pfiffner L. International Society for Research in Child and Adolescent Psychopathology Biennial Meeting · 2025
conference
13
Dr. AI Will See You Now: The Opportunities, Challenges, and Risks of ChatGPT, Gemini, and Other Large Language Models in Psychiatry
Sarma, K. V., Hanss, K. E., Galatzer-Levy, I. R., Tolou-Shams, M. APA Annual Meeting · 2025
conference
14
The Robo-Doctor is Always In: Assessing and Comparing the Psychiatric Diagnostic Capabilities of ChatGPT and other Large Language Models
Sarma, K. V., Hanss, K. E., Glowinski, A. L., Krystal, A., Halls, A. J. M., Butte, A. J. APA Annual Meeting · 2025
conference
2024
17 publications
01
Can Artificial Intelligence Make the Diagnosis? Evaluating the Accuracy of Large Language Models in Diagnosing Child and Adolescent Psychiatry Clinical Cases
Hanss, K., Sarma, K. V., Halls, A., Gorrell, S., Reilly, E. Journal of the American Academy of Child & Adolescent Psychiatry · 2024
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02
Rethinking technology innovation for mental health: framework for multi-sectoral collaboration
Suh, J., Pendse, S. R., Lewis, R., Howe, E., Saha, K., Okoli, E., Amores, J., Ramos, G., Shen, J., Borghouts, J., Sharma, A., Pedrelli, P., Friedman, L., Jackman, C., Benhalim, Y., Ong, D. C., Segal, S., Althoff, T., Czerwinski, M. Nature Mental Health · 2024
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03
Missed Opportunities for Human-Centered AI Research: Understanding Stakeholder Collaboration in Mental Health AI Research
Yoo, D. W., Woo, H., Pendse, S. R., Lu, N. Y., Birnbaum, M. L., Abowd, G. D., De Choudhury, M. Proceedings of the ACM on Human-Computer Interaction · 2024
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conference
04
Advancing a consent-forward paradigm for digital mental health data
Pendse, S. R., Stapleton, L., Kumar, N., De Choudhury, M., Chancellor, S. Nature Mental Health · 2024
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05
Quantifying the Pollan Effect: Investigating the Impact of Emerging Psychiatric Interventions on Online Mental Health Discourse
Pendse, S. R., Kumar, N., De Choudhury, M. Proceedings of the 2024 CHI Conference on Human Factors in Computing Systems · 2024
conference
06
Towards Inclusive Futures for Worker Wellbeing
Pendse, S. R., Massachi, T., Mahdavimoghaddam, J., Butler, J., Suh, J., Czerwinski, M. Proceedings of the ACM on Human-Computer Interaction (PACM HCI), CSCW · 2024
conference
07
Challenges in the Differential Classification of Individual Diagnoses from Co-Occurring Autism and ADHD Using Survey Data
Jaiswal, A., Wall, D. P., Washington, P. IEEE EMBS International Conference on Biomedical Health Informatics · 2024
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conference
08
Ethics of the Use of Social Media as Training Data for AI Models Used for Digital Phenotyping
Jaiswal, A., Shah, A., Harjadi, C., Windgassen, E., Washington, P. JMIR Formative Research · 2024
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journal
09
Using #ActuallyAutistic on Twitter for Precision Diagnosis of Autism Spectrum Disorder: Machine Learning Study
Jaiswal, A., Washington, P. JMIR Formative Research · 2024
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journal
10
Digitally Diagnosing Multiple Developmental Delays Using Crowdsourcing Fused With Machine Learning
Washington, P. JMIR Research Protocols · 2024
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11
A Comparison of Personalized and Generalized Approaches to Emotion Recognition Using Consumer Wearable Devices: Machine Learning Study
Li, J., Washington, P. JMIR AI · 2024
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journal
12
Can Large Language Models Reason about Behavioral Health? Evaluating the Psychiatric Knowledge Base and Reasoning Capabilities of GPT-4
Sarma, K. V.*, Hanss, K. E.*, Glowinski, A. L., Butte, A. J., Halls, A. J. M. UCSF Health Services Research Symposium · 2024
conference
13
The Ethics of Artificial Intelligence in Psychiatry: A Beginner's Exploration.
He, C. X, Sarma, K. V., Hu, R. APA Mental Health Services Conference · 2024
conference
14
Can Large Language Model-based AI Reason about Behavioral Health? Preliminary Evaluation of a Decision Tree-Based LLM Algorithm for Psychiatric Case Diagnosis
Sarma, K. V., Hanss, K. E., Glowinski, A. L., Krystal, A., Halls, A. J. M., Butte, A. J. ACNP 63rd Annual Meeting · 2024
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conference
15
Improving the Performance of LLM-Based Semi-Automated Psychiatric Case Diagnosis using Decision Tree-Based Prompting
Sarma, K. V., Hanss, K. E., Glowinski, A. L., Butte, A. J., Halls, A. J. M. AMIA Annual Meeting · 2024
conference
16
AI vs. DSM -- Can It Make the Diagnosis? Measuring GPT-4's Psychiatric Knowledge and Reasoning
Sarma, K. V., Hanss, K. E., Elkin, D., Halls, A. UCSF School of Medicine Leadership Retreat · 2024
conference
17
Grading the Machine: Assessing ChatGPT's Psychiatric Knowledge through Boards-Style Assessment
Hanss, K. E.*, Sarma, K. V.*, Saunders, R., Elkin, D. APA Annual Meeting · 2024
conference
2023
1 publication
01
A Review of and Roadmap for Data Science and Machine Learning for the Neuropsychiatric Phenotype of Autism
Washington, P., Wall, D. P. Annual Review of Biomedical Data Science · 2023
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