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

Methods and New Tools in Mental Health Research (560) Tools, Programs and Algorithms (382) Development and Evaluation of Research Methods, Instruments and Tools (750) Artificial Intelligence (2144) Generative Language Models Including ChatGPT (713) Big Data (308)

Published on in Vol 12 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/68135, first published .
Leveraging Large Language Models and Agent-Based Systems for Scientific Data Analysis: Validation Study

Leveraging Large Language Models and Agent-Based Systems for Scientific Data Analysis: Validation Study

Leveraging Large Language Models and Agent-Based Systems for Scientific Data Analysis: Validation Study

Authors of this article:

Dale Peasley1, 2 Author Orcid Image ;   Rayus Kuplicki1 Author Orcid Image ;   Sandip Sen2 Author Orcid Image ;   Martin Paulus1 Author Orcid Image
Article Authors Cited by (3) Tweetations (1) Metrics

Journals

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  2. Shakhbazau A. Fine-tuning LLM hyperparameters to align semantic and physiological contexts of aging-related pathways. Molecular Diversity 2025 View
  3. Nananukul N, Kejriwal M. Semi-Automatic Extraction and Analysis of Health Equity Covariates in Registered Research Projects. Applied Sciences 2025;15(22):11853 View