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

Development and Evaluation of Research Methods, Instruments and Tools (765) Diagnostic Tools in Mental Health (330) Generative Language Models Including ChatGPT (745) New Methods (1145) Applications of AI (300) Ethical, Legal, and Social Issues in AI (109)

Published on in Vol 9 (2025)

This is a member publication of Imperial College London (Jisc)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/68347, first published .
The Feasibility of Large Language Models in Verbal Comprehension Assessment: Mixed Methods Feasibility Study

The Feasibility of Large Language Models in Verbal Comprehension Assessment: Mixed Methods Feasibility Study

The Feasibility of Large Language Models in Verbal Comprehension Assessment: Mixed Methods Feasibility Study

Authors of this article:

Dorit Hadar-Shoval1 Author Orcid Image ;   Maya Lvovsky1 Author Orcid Image ;   Kfir Asraf1 Author Orcid Image ;   Yoav Shimoni2, 3 Author Orcid Image ;   Zohar Elyoseph4, 5 Author Orcid Image
Article Authors Cited by (3) Tweetations Metrics

Journals

  1. Kronenberger O, Hutnyan M, Kaser A, Bullinger L, Lacritz L, Cullum C. Comparing the Neuropsychology Knowledge Base of Publicly Available Large Language Models. Archives of Clinical Neuropsychology 2025 View
  2. Kronenberger O, Gottlieb M, Cullum C. Large language models in neuropsychology: Emerging applications and ethical considerations. The Clinical Neuropsychologist 2025:1 View

Books/Policy Documents

  1. Antwi-Boasiako E, Assyne N, Engmann F, Adabor E. AI Roles and Responsibilities in Education. View