Accessibility settings

This paper is in the following e-collection/theme issue:

Foundation Models and Their Applications in AI (119) Clinical Informatics (2306) Clinical Information and Decision Making (3773) Natural Language Processing (1305) Ontologies, Classifications, and Coding (452) Diagnostic Tools in Mental Health (445) Computer-Aided Diagnosis (427) Generative Language Models Including ChatGPT (1556)

Published on in Vol 4 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/75030, first published .
Digital brain circuit board glowing blue on a dark background

Aiding Large Language Models Using Clinical Scoresheets for Neurobehavioral Diagnostic Classification From Text: Algorithm Development and Validation

Aiding Large Language Models Using Clinical Scoresheets for Neurobehavioral Diagnostic Classification From Text: Algorithm Development and Validation

Authors of this article:

Kaiying Lin1 Author Orcid Image ;   Abdur Rasool2 Author Orcid Image ;   Saimourya Surabhi3 Author Orcid Image ;   Cezmi Mutlu3 Author Orcid Image ;   Haopeng Zhang2 Author Orcid Image ;   Dennis P Wall3 Author Orcid Image ;   Peter Washington4 Author Orcid Image
Article Authors Cited by (6) Tweetations Metrics

Journals

  1. Yang S, Liu S, Ma Y, Gai B, Liu J, Wang L, Gao F, Zhou Z. Real-world performance of open-source large language models in diabetes diagnosis. Frontiers in Endocrinology 2026;17 View
  2. Sarma K, Hanss K, Halls A, Becker D, Glowinski A, Krystal A. Simulated Reasoning and Self-Verification for Psychiatric Diagnosis in Generalist Large Language Models: Comparative Evaluation. JMIR AI 2026;5:e83927 View
  3. Ahn G, Li C, Liang A, Choi W, Ahn S, Roberts C, Gabrieli J. Large Language Model Few-Shot Learning for Predicting Individual Treatment Response to Smartphone-Based Mindfulness in Autistic Adults With Anxiety: Secondary Analysis of a Randomized Controlled Trial. JMIR AI 2026;5:e89054 View
  4. Han Y, Hu J, Xu X, Ai M, Hong S, Wo W, Kuang L. Automated Conversational Screening for Depression and Suicide-Related Outcomes in Psychiatric Outpatients: Formative Diagnostic Agreement Study (Preprint). JMIR Formative Research 2025 View
  5. Siefert C, Dauphin B, Slavin-Mulford J, Mukkamala S, Reddy Tatipally V, Alsaid A, Chehade A. From free association to free parameters: machine-learning empowers artificial intelligence models to rate the affective-relational aspects of narratives like an expert psychologist. Frontiers in Digital Health 2026;8 View
  6. Kim J, Son K, Yeom C, Kim W, Lee S, Shin J, Yang H, Yoo D, Hahm B. Large Language Models for Distress Rating in Korean Psycho-Oncology Interviews: Exploratory Clinician-Benchmarked Evaluation Study. Journal of Medical Internet Research 2026;28:e91405 View