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Health Sciences › Medicine › Health Informatics
Explainability for artificial intelligence in healthcare: a multidisciplinary perspective
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Identified Weaknesses
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Paper Summary
Paperzilla title
Doctors & Patients Demand Answers: Why Explainable AI is Crucial for Trust in Healthcare
Explainability in clinical decision support systems (CDSS) is crucial for maintaining patient autonomy, trust, and ethical medical practice. Opaque AI algorithms pose challenges to informed consent, shared decision-making, and the equitable distribution of healthcare resources, potentially hindering the responsible integration of AI into medicine.
Possible Conflicts of Interest
The authors declare no competing interests, and no obvious conflicts are apparent from their affiliations or the funding source (EU Horizon 2020).
Identified Weaknesses
Limited Technical Evaluation
The conceptual analysis methodology, while appropriate for exploring ethical and societal implications, might not be sufficient for rigorously evaluating the technical aspects of explainability. A stronger technical analysis, possibly incorporating empirical studies or case studies of specific explainable AI systems, would enhance the paper's contribution.
Narrow Focus on CDSS
Focusing solely on CDSS limits the scope of the analysis, as explainability is relevant to other healthcare AI applications (e.g., medical imaging, drug discovery). Broadening the scope would provide a more comprehensive perspective on the role of explainability in healthcare.
Lack of a Clear Definition of Explainability
The paper acknowledges the lack of a universally accepted definition of explainability but doesn't offer a clear operational definition for its analysis. This ambiguity might lead to inconsistencies in how explainability is understood and applied across different sections of the paper.
Rating Explanation
This paper provides a valuable multidisciplinary perspective on the critical issue of explainability in healthcare AI. The analysis covers technological, legal, medical, and patient viewpoints, offering a comprehensive assessment of the ethical implications. While the technical analysis could be strengthened, the paper's strength lies in its ethical discussion and its focus on the importance of explainability for patient trust and autonomy.
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Original Title:
Explainability for artificial intelligence in healthcare: a multidisciplinary perspective
File Name:
s12911-020-01332-6.pdf
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File Size:
0.69 MB
Uploaded:
July 14, 2025 at 11:25 AM
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