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Chatbot Artificial Intelligence for Genetic Cancer Risk Assessment and Counseling: A Systematic Review and Meta-Analysis.
Webster, Emily M; Ahsan, Muhammad Danyal; Perez, Luiza; Levi, Sarah R; Thomas, Charlene; Christos, Paul; Hickner, Andy; Hamilton, Jada G; Babagbemi, Kemi; Cantillo, Evelyn; Holcomb, Kevin; Chapman-Davis, Eloise; Sharaf, Ravi N; Frey, Melissa K.
Afiliação
  • Webster EM; Weill Cornell Medicine, New York, NY.
  • Ahsan MD; Weill Cornell Medicine, New York, NY.
  • Perez L; Weill Cornell Medicine, New York, NY.
  • Levi SR; Weill Cornell Medicine, New York, NY.
  • Thomas C; Weill Cornell Medicine, New York, NY.
  • Christos P; Weill Cornell Medicine, New York, NY.
  • Hickner A; Weill Cornell Medicine, New York, NY.
  • Hamilton JG; Memorial Sloan Kettering Cancer Center, New York, NY.
  • Babagbemi K; Weill Cornell Medicine, New York, NY.
  • Cantillo E; Weill Cornell Medicine, New York, NY.
  • Holcomb K; Weill Cornell Medicine, New York, NY.
  • Chapman-Davis E; Weill Cornell Medicine, New York, NY.
  • Sharaf RN; Weill Cornell Medicine, New York, NY.
  • Frey MK; Weill Cornell Medicine, New York, NY.
JCO Clin Cancer Inform ; 7: e2300123, 2023 Sep.
Article em En | MEDLINE | ID: mdl-37934933
PURPOSE: Most individuals with a hereditary cancer syndrome are unaware of their genetic status to underutilization of hereditary cancer risk assessment. Chatbots, or programs that use artificial intelligence to simulate conversation, have emerged as a promising tool in health care and, more recently, as a potential tool for genetic cancer risk assessment and counseling. Here, we evaluated the existing literature on the use of chatbots in genetic cancer risk assessment and counseling. METHODS: A systematic review was conducted using key electronic databases to identify studies which use chatbots for genetic cancer risk assessment and counseling. Eligible studies were further subjected to meta-analysis. RESULTS: Seven studies met inclusion criteria, evaluating five distinct chatbots. Three studies evaluated a chatbot that could perform genetic cancer risk assessment, one study evaluated a chatbot that offered patient counseling, and three studies included both functions. The pooled estimated completion rate for the genetic cancer risk assessment was 36.7% (95% CI, 14.8 to 65.9). Two studies included comprehensive patient characteristics, and none involved a comparison group. Chatbots varied as to the involvement of a health care provider in the process of risk assessment and counseling. CONCLUSION: Chatbots have been used to streamline genetic cancer risk assessment and counseling and hold promise for reducing barriers to genetic services. Data regarding user and nonuser characteristics are lacking, as are data regarding comparative effectiveness to usual care. Future research may consider the impact of chatbots on equitable access to genetic services.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Síndromes Neoplásicas Hereditárias / Inteligência Artificial Tipo de estudo: Systematic_reviews Limite: Humans Idioma: En Revista: JCO Clin Cancer Inform Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Síndromes Neoplásicas Hereditárias / Inteligência Artificial Tipo de estudo: Systematic_reviews Limite: Humans Idioma: En Revista: JCO Clin Cancer Inform Ano de publicação: 2023 Tipo de documento: Article