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

Applications of AI (876) Digital Mental Health Interventions, e-Mental Health and Cyberpsychology (3115) Autism Spectrum Disorder (ASD) (202) Machine Learning (3082) Formative Evaluation of Digital Health Interventions (4991) New Technologies (158) Precision Medicine (425)

Published on in Vol 5 (2026)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/89054, first published .
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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

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

Authors of this article:

Gun Ahn1 Author Orcid Image ;   Cindy E Li2 Author Orcid Image ;   Aixin Liang3 Author Orcid Image ;   Wonchang Choi3 Author Orcid Image ;   Seoin Ahn4 Author Orcid Image ;   Clark Roberts3 ;   John D E Gabrieli1, 2, 3 Author Orcid Image
Article Authors Cited by Tweetations Metrics

Gun Ahn   1 , MSc ;   Cindy E Li   2 , PhD ;   Aixin Liang   3 ;   Wonchang Choi   3 ;   Seoin Ahn   4 , MSc ;   Clark Roberts   3 , PhD ;   John D E Gabrieli   1, 2, 3 , PhD

1 Department of Brain and Cognitive Science, Massachusetts Institute of Technology, Cambridge, MA, United States

2 Hock E. Tan and K. Lisa Yang Center for Autism Research, Massachusetts Institute of Technology, Cambridge, MA, United States

3 McGovern Institute for Brain Research, Massachusetts Institute of Technology, Cambridge, MA, United States

4 McLean Hospital, Belmont, MA, United States

Corresponding Author:

  • John D E Gabrieli, PhD
  • Department of Brain and Cognitive Science
  • Massachusetts Institute of Technology
  • 43 Vassar Street
  • Cambridge, MA
  • United States
  • Phone: 1 617-253-8946
  • Email: gabrieli@mit.edu