Systematic review examines AI and machine learning applications in forensic psychiatric assessments, indicating implications for accuracy and efficiency.
This repository contains the supplementary research materials associated with the manuscript entitled "Artificial Intelligence and Machine Learning in Forensic Psychiatric Cohorts and Related Forensic Psychological Assessment: A Systematic Review." The repository has been created to enhance the transparency, reproducibility, and methodological rigor of the systematic review. The deposited materials include and not limited to: Complete database search strategies for all electronic databases; PRISMA 2020 checklist; Data extraction sheet for all included studies; PROBAST risk-of-bias assessment records; Supplementary tables and supporting materials used during the review process. These materials correspond to the final version of the manuscript submitted to Frontiers in Psychiatry. The repository is intended solely to facilitate verification of the review methodology and to support reproducibility of the reported findings. No individual participant data are included. If the associated manuscript undergoes further revision during peer review, the repository may be updated.
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Shengzekun Fan (2026) studied this question.
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