Artificial intelligence in glomerular diseases.

Schena, Francesco P; Magistroni, Riccardo; Narducci, Fedelucio; Abbrescia, Daniela I; Anelli, Vito W; Di Noia, Tommaso

Schena, Francesco P; Magistroni, Riccardo; Narducci, Fedelucio; Abbrescia, Daniela I; Anelli, Vito W; Di Noia, Tommaso.

Afiliación

Schena FP; Department of Emergency and Organ Transplantation, University of Bari, Bari, Italy. paolo.schena@uniba.it.
Magistroni R; Department of Nephrology, University of Modena, Modena, Italy.
Narducci F; Department of Electrical and Information Engineering, Polytechnic of Bari, Bari, Italy.
Abbrescia DI; Schena Foundation, Bari, Italy.
Anelli VW; Department of Electrical and Information Engineering, Polytechnic of Bari, Bari, Italy.
Di Noia T; Department of Electrical and Information Engineering, Polytechnic of Bari, Bari, Italy.

Pediatr Nephrol ; 37(11): 2533-2545, 2022 11.

Article en En | MEDLINE | ID: mdl-35266037

Asunto(s)

Inteligencia Artificial; Insuficiencia Renal Crónica; Algoritmos; Humanos; Aprendizaje Automático; Estudios Prospectivos; Insuficiencia Renal Crónica/diagnóstico; Estudios Retrospectivos

Palabras clave

Artificial Intelligence; Clinical Outcome; Deep Learning Algorithm; Glomerulonephritis; Machine Learning Algorithm; Natural Language Processing

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Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Inteligencia Artificial / Insuficiencia Renal Crónica Tipo de estudio: Diagnostic_studies / Observational_studies / Prognostic_studies / Risk_factors_studies / Screening_studies Límite: Humans Idioma: En Revista: Pediatr Nephrol Asunto de la revista: NEFROLOGIA / PEDIATRIA Año: 2022 Tipo del documento: Article País de afiliación: Italia

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