What type of study is this?

This is a Systematic Review study.

September 24, 2025Open Access

A Systematic Review on the Generative AI Applications in Human Medical Genomics

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Authors

ACAnton I. ChangalidisResearch Institute of Obstetrics and Gynecology named after D.O. Ott YBYury A. BarbitoffResearch Institute of Obstetrics and Gynecology named after D.O. Ott YNYulia A. NasykhovaResearch Institute of Obstetrics and Gynecology named after D.O. Ott

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Implication

Systematic review examines the impact of large language models in genetic diagnostics and education, highlighting challenges in multimodal data integration.

Key Points

Large language models significantly advance disease stratification and variant interpretation in genomics, addressing complex data challenges.
A total of 172 studies were reviewed, demonstrating applications in genomic variant identification and medical imaging advancements.
Systematic review methodology utilized automated keyword searches across multiple databases to assess LLM applications.
Challenges remain in integrating genomic, imaging, and clinical data into unified clinical pipelines for practical implementation.

Cite This Study

Changalidis et al. (2025) studied this question.

synapsesocial.com/papers/68d6d8978b2b6861e4c3ecfd https://doi.org/10.48550/arxiv.2508.20275

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Implication

Systematic review examines the impact of large language models in genetic diagnostics and education, highlighting challenges in multimodal data integration.

A Systematic Review on the Generative AI Applications in Human Medical Genomics

Discussion

Member takes

Implication

Key Points

Cite This Study

A Systematic Review on the Generative AI Applications in Human Medical Genomics

Discussion

Member takes

Implication

Key Points

Cite This Study

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