October 22, 2025Open Access

Data avaliability for "Critical appraisal tools for Artificial Intelligence clinical Studies. A scoping review" (Preprint)

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Authors

JCJuan B CabelloUniversity of Alicante VGVicente Ruiz GarcíaHospital Universitari i Politècnic La Fe MTMiguel TorralbaUniversidad de Alcalá

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Implication

Scoping review identifies critical appraisal tools for artificial intelligence clinical studies, highlighting quality and risk of bias in clinical practice.

Key Points

The review found 70 studies that provided insights into quality and risk of bias in artificial intelligence clinical studies.
Data extraction encompassed tools for critical appraisal and was guided by PRISMA extensions for scoping reviews.
Evidence indicates that existing tools may mitigate biases and enhance the validity of AI applications in clinical settings.
The findings suggest a growing need for standardized reporting guidelines to improve the reliability of artificial intelligence research.

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Cabello et al. (2025) studied this question.

synapsesocial.com/papers/68f8a381c0c01e5ef8abdb63 https://doi.org/10.2196/preprints.85688

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Implication

Scoping review identifies critical appraisal tools for artificial intelligence clinical studies, highlighting quality and risk of bias in clinical practice.

Data avaliability for "Critical appraisal tools for Artificial Intelligence clinical Studies. A scoping review" (Preprint)

Discussion

Member takes

Implication

Key Points

Cite This Study

Data avaliability for "Critical appraisal tools for Artificial Intelligence clinical Studies. A scoping review" (Preprint)

Discussion

Member takes

Implication

Key Points

Cite This Study

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