What type of study is this?

This is a Systematic Review study.

What question did this study set out to answer?

This review analyzes ethical and practical challenges posed by generative AI in healthcare and proposes solutions.

November 17, 2025Frontiers in Digital HealthOpen Access

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Systematic review reveals algorithmic bias and data privacy issues in healthcare generative AI, suggesting regulatory strategies for resolution.

This review analyzes ethical and practical challenges posed by generative AI in healthcare and proposes solutions.
Conducted a systematic review following the PRISMA 2020 statement.
Reviewed articles from PubMed and Google Scholar published between January 2020 and May 2025.
Used thematic narrative synthesis to analyze findings from 54 selected articles.
Confirmed the integration of AI into medical training, research, and clinical practice.
Identified challenges such as algorithmic bias, unresolved legal liability, and significant data privacy risks.
Proposed multifaceted solutions including technical, procedural, and regulatory strategies.

Tung et al. (2025) studied this question.

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Systematic review reveals algorithmic bias and data privacy issues in healthcare generative AI, suggesting regulatory strategies for resolution.