Utilizing an artificial intelligence framework (conditional generative adversarial network) to enhance telemedicine strategies for cancer pain management.

Cascella, Marco; Scarpati, Giuliana; Bignami, Elena Giovanna; Cuomo, Arturo; Vittori, Alessandro; Di Gennaro, Piergiacomo; Crispo, Anna; Coluccia, Sergio

Cascella, Marco; Scarpati, Giuliana; Bignami, Elena Giovanna; Cuomo, Arturo; Vittori, Alessandro; Di Gennaro, Piergiacomo; Crispo, Anna; Coluccia, Sergio.

Afiliación

Cascella M; Department of Anesthesia and Critical Care, Istituto Nazionale Tumori-IRCCS, Fondazione Pascale, 80100, Naples, Italy. m.cascella@istitutotumori.na.it.
Scarpati G; Department of Medicine, Surgery and Dentistry "Scuola Medica Salernitana, " University of Salerno, 84084, Baronissi, SA, Italy.
Bignami EG; Critical Care and Pain Medicine Division, Department of Medicine and Surgery, University of Parma, Viale Gramsci 14, 43126, Parma, Italy.
Cuomo A; Department of Anesthesia and Critical Care, Istituto Nazionale Tumori-IRCCS, Fondazione Pascale, 80100, Naples, Italy.
Vittori A; Department of Anesthesia and Critical Care, ARCO Roma, Ospedale Pediatrico Bambino Gesù IRCCS, Rome, Italy.
Di Gennaro P; Epidemiology and Biostatistics Unit, Istituto Nazionale Tumori-IRCCS, Fondazione Pascale, 80100, Naples, Italy.
Crispo A; Epidemiology and Biostatistics Unit, Istituto Nazionale Tumori-IRCCS, Fondazione Pascale, 80100, Naples, Italy.
Coluccia S; Epidemiology and Biostatistics Unit, Istituto Nazionale Tumori-IRCCS, Fondazione Pascale, 80100, Naples, Italy.

J Anesth Analg Crit Care ; 3(1): 19, 2023 Jun 20.

Article en En | MEDLINE | ID: mdl-37386680

Palabras clave

Artificial intelligence; Cancer pain; Conditional generative adversarial network; Deep learning; Machine learning; Telemedicine

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: J Anesth Analg Crit Care Año: 2023 Tipo del documento: Article País de afiliación: Italia Pais de publicación: Reino Unido

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