Your browser doesn't support javascript.
loading
Being diagnosed with a rhabdomyosarcoma in the era of artificial intelligence: Whom can we trust?
Clerici, Carlo Alfredo; Bernasconi, Alice; Lasalvia, Paolo; Bisogno, Gianni; Milano, Giuseppe Maria; Trama, Annalisa; Chiaravalli, Stefano; Bergamaschi, Luca; Casanova, Michela; Massimino, Maura; Ferrari, Andrea.
Afiliação
  • Clerici CA; Pediatric Oncology Unit, Fondazione IRCCS Istituto Nazionale Tumori, Milan, Italy.
  • Bernasconi A; Department of Oncology and Hemato-oncology, University of Milan, Milan, Italy.
  • Lasalvia P; Evaluative Epidemiology Unit, Department of Epidemiology and Data Science, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy.
  • Bisogno G; Evaluative Epidemiology Unit, Department of Epidemiology and Data Science, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy.
  • Milano GM; Hematology Oncology Division, University of Padua, Padua, Italy.
  • Trama A; Department of Women's and Children's Health, University of Padua, Padua, Italy.
  • Chiaravalli S; Hematology/Oncology, Ospedale Pediatrico Bambino Gesù IRCCS, Rome, Italy.
  • Bergamaschi L; Evaluative Epidemiology Unit, Department of Epidemiology and Data Science, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy.
  • Casanova M; Pediatric Oncology Unit, Fondazione IRCCS Istituto Nazionale Tumori, Milan, Italy.
  • Massimino M; Pediatric Oncology Unit, Fondazione IRCCS Istituto Nazionale Tumori, Milan, Italy.
  • Ferrari A; Pediatric Oncology Unit, Fondazione IRCCS Istituto Nazionale Tumori, Milan, Italy.
Pediatr Blood Cancer ; : e31256, 2024 Aug 11.
Article em En | MEDLINE | ID: mdl-39129151
ABSTRACT
In the era of big data, young patients may be overwhelmed by artificial intelligence-based tools, like chatbots. Five clinical experts were asked to evaluate the performance of the most currently used chatbots in providing information on a rare cancer affecting young people, like rhabdomyosarcoma. Generally speaking, despite their high performance in giving general information about the disease, these chatbots were considered by the experts to be inadequate in providing suggestions on cancer treatments and specialized centers, and also lacking in "sensitivity." Efforts are planned by the pediatric oncology community to improve the quality of data used to train these tools.
Palavras-chave

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Ano de publicação: 2024 Tipo de documento: Article