Artificial Intelligence and Machine Learning in Forensic Psychiatry and Psychology: A Systematic Review

Shengzekun Fan

doi:10.5281/zenodo.20781971

June 21, 2026Open Access

Artificial Intelligence and Machine Learning in Forensic Psychiatry and Psychology: A Systematic Review

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Key Points

The aim is to review the application of artificial intelligence and machine learning in forensic psychiatry and psychology and assess the methodological quality of the existing literature.
Conducted a systematic review using multiple electronic databases.
Utilized PRISMA 2020 checklist for methodological rigor.
Included data extraction sheets and PROBAST risk-of-bias assessments.
Presented a repository of supplementary materials to enhance methodological transparency.
Provided complete database search strategies utilized during the review.
Assured that no individual participant data is included, focusing on aggregate study quality.

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Implication

Systematic review examines AI and machine learning applications in forensic psychiatry, suggesting enhanced methodological transparency and reproducibility.

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Shengzekun Fan (2026) studied this question.

synapsesocial.com/papers/6a3a223b111626ef22ab6d0e https://doi.org/10.5281/zenodo.20781971

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Artificial Intelligence and Machine Learning in Forensic Psychiatry and Psychology: A Systematic Review

Key Points

No abstract yet

Implication

Discussion

Cite This Study

Artificial Intelligence and Machine Learning in Forensic Psychiatry and Psychology: A Systematic Review

Key Points

No abstract yet

Implication

Discussion

Cite This Study

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