Artificial intelligence and machine learning as a viable solution for hip implant failure diagnosis-Review of literature and in vitro case study.

Ampadi Ramachandran, Remya; Chi, Sheng-Wei; Srinivasa Pai, P; Foucher, Kharma; Ozevin, Didem; Mathew, Mathew T

Ampadi Ramachandran, Remya; Chi, Sheng-Wei; Srinivasa Pai, P; Foucher, Kharma; Ozevin, Didem; Mathew, Mathew T.

Afiliación

Ampadi Ramachandran R; Department of Biomedical Engineering, University of Illinois Chicago, Chicago, IL, USA. rampad2@uic.edu.
Chi SW; Department of Civil, Materials, and Environmental Engineering, University of Illinois Chicago, Chicago, IL, USA.
Srinivasa Pai P; Department of Mechanical Engineering, NMAM IT, Nitte, Karnataka, India.
Foucher K; Department of Kinesiology and Nutrition, University of Illinois Chicago, Chicago, IL, USA.
Ozevin D; Department of Civil, Materials, and Environmental Engineering, University of Illinois Chicago, Chicago, IL, USA.
Mathew MT; Department of Biomedical Engineering, University of Illinois Chicago, Chicago, IL, USA.

Med Biol Eng Comput ; 61(6): 1239-1255, 2023 Jun.

Article en En | MEDLINE | ID: mdl-36701013

Asunto(s)

Inteligencia Artificial; Prótesis de Cadera; Humanos; Aprendizaje Automático; Falla de Prótesis

Palabras clave

Acoustic emission (AE); Artificial intelligence (AI); Machine learning (ML); Random forest (RF); Tribocorrosion

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Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Inteligencia Artificial / Prótesis de Cadera Tipo de estudio: Diagnostic_studies / Prognostic_studies Límite: Humans Idioma: En Revista: Med Biol Eng Comput Año: 2023 Tipo del documento: Article País de afiliación: Estados Unidos

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