Democratising or disrupting diagnosis? Ethical issues raised by the use of AI tools for rare disease diagnosis.

Hallowell, Nina; Badger, Shirlene; McKay, Francis; Kerasidou, Angeliki; Nellåker, Christoffer

Hallowell, Nina; Badger, Shirlene; McKay, Francis; Kerasidou, Angeliki; Nellåker, Christoffer.

Afiliación

Hallowell N; The Ethox Centre and Wellcome Centre for Ethics & Humanities, Nuffield Department of Population Health and Big Data Institute, University of Oxford, UK.
Badger S; Illumina, Inc, Cambridge, UK.
McKay F; The Ethox Centre and Wellcome Centre for Ethics & Humanities, Nuffield Department of Population Health and Big Data Institute, University of Oxford, UK.
Kerasidou A; The Ethox Centre and Wellcome Centre for Ethics & Humanities, Nuffield Department of Population Health and Big Data Institute, University of Oxford, UK.
Nellåker C; Nuffield Department of Women's and Reproductive Health and Big Data Institute, University of Oxford, UK.

SSM Qual Res Health ; 3: 100240, 2023 Jun.

Article en En | MEDLINE | ID: mdl-37426704

Palabras clave

AI; Computational phenotyping; Diagnosis; Qualitative interviews; Rare disease

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Texto completo: 1 Bases de datos: MEDLINE Tipo de estudio: Diagnostic_studies / Prognostic_studies / Qualitative_research Idioma: En Revista: SSM Qual Res Health Año: 2023 Tipo del documento: Article País de afiliación: Reino Unido

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