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This is a Validation Study study.

December 1, 2025Diagnostic and Prognostic ResearchOpen Access

Why we do need explainable AI for healthcare

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Authors

GCGiovanni Cinà TRTabea E. RöberUniversity of Amsterdam RGRob Goedhart

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Implication

The article argues that explainable AI enhances transparency in healthcare applications, emphasizing clinical utility and guidelines for better human-machine interaction.

Key Points

Explainable AI increases transparency in artificial intelligence tools used for healthcare applications, ensuring reliability.
The article highlights clinical applications of explainable AI, focusing on its relevance in healthcare interventions for effective usage.
Discussion includes the necessity of guidelines and standards for integrating explainable AI in medical practice, promoting trustworthiness.
The ongoing research in explainable AI is crucial for overcoming concerns about human-machine interaction and maintaining control.

Cite This Study

Cinà et al. (2025) studied this question.

synapsesocial.com/papers/69402c4d2d562116f2902a32 https://doi.org/10.1186/s41512-025-00209-4

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Implication

The article argues that explainable AI enhances transparency in healthcare applications, emphasizing clinical utility and guidelines for better human-machine interaction.

Why we do need explainable AI for healthcare

Discussion

Member takes

Implication

Key Points

Cite This Study

Why we do need explainable AI for healthcare

Discussion

Member takes

Implication

Key Points

Cite This Study

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