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Clinician feedback on the design features of an AI tool to identify Fabry disease

Year: 2024

Type: article

Abstract: This paper presents feedback from a focus group of cardiologists (n=6) regarding an AI tool to assist in the identification of Fabry disease. The key feedback on the features, explainability and its role in clinical workflow are explored.

Source: Zenodo (CERN European Organization for Nuclear Research)

DOI: 10.5281/zenodo.13152403

Author: Vera, Onongaya

Institution: Cardiff University

Language: English

Topic: Artificial Intelligence in Healthcare and Education

Subfield: Health Informatics

Field: Medicine

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: green

OpenAlex ID: W6948923851

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