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Use of ChatGPT in Urology and its Relevance in Clinical Practice: Is it useful?
Braga, Antonio Vitor Nascimento Martinelli; Nunes, Noel Charlles; Santos, Emanoel Nascimento; Veiga, Maria Luiza; Braga, Ana Aparecida Nascimento Martinelli; Abreu, Glicia Estevam de; Bessa Júnior, José de; Braga, Luis Henrique; Kirsch, Andrew J.; Barroso Júnior, Ubirajara.
Affiliation
  • Braga, Antonio Vitor Nascimento Martinelli; Escola Bahiana de Medicina e Saúde Pública. Centro de Distúrbios Urinários Infantis. Salvador. BR
  • Nunes, Noel Charlles; Escola Bahiana de Medicina e Saúde Pública. Centro de Distúrbios Urinários Infantis. Salvador. BR
  • Santos, Emanoel Nascimento; Escola Bahiana de Medicina e Saúde Pública. Centro de Distúrbios Urinários Infantis. Salvador. BR
  • Veiga, Maria Luiza; Escola Bahiana de Medicina e Saúde Pública. Centro de Distúrbios Urinários Infantis. Salvador. BR
  • Braga, Ana Aparecida Nascimento Martinelli; Escola Bahiana de Medicina e Saúde Pública. Centro de Distúrbios Urinários Infantis. Salvador. BR
  • Abreu, Glicia Estevam de; Escola Bahiana de Medicina e Saúde Pública. Centro de Distúrbios Urinários Infantis. Salvador. BR
  • Bessa Júnior, José de; Universidade Estadual de Feira de Santana. Faculdade de Medicina. Feira de Santana. BR
  • Braga, Luis Henrique; McMaster University. Hamilton. CA
  • Kirsch, Andrew J.; Childrens Healthcare of Atlanta and Emory University School of Medicine. Pediatric Urology. Atlanta. US
  • Barroso Júnior, Ubirajara; Escola Bahiana de Medicina e Saúde Pública. Centro de Distúrbios Urinários Infantis. Salvador. BR
Int. braz. j. urol ; 50(2): 192-198, Mar.-Apr. 2024. tab
Article in En | LILACS-Express | LILACS | ID: biblio-1558057
Responsible library: BR1.1
ABSTRACT
ABSTRACT Purpouse One of the many artificial intelligence based tools that has gained popularity is the Chat-Generative Pre-Trained Transformer (ChatGPT). Due to its popularity, incorrect information provided by ChatGPT will have an impact on patient misinformation. Furthermore, it may cause misconduct as ChatGPT can mislead physicians on the decision-making pathway. Therefore, the aim of this study is to evaluate the accuracy and reproducibility of ChatGPT answers regarding urological diagnoses. Materials and

Methods:

ChatGPT 3.5 version was used. The questions asked for the program involved Primary Megaureter (pMU), Enuresis and Vesicoureteral Reflux (VUR). There were three queries for each topic. The queries were inserted twice, and both responses were recorded to examine the reproducibility of ChatGPT's answers. Afterwards, both answers were combined. Finally, those rwere evaluated qualitatively by a board of three specialists. A descriptive analysis was performed. Results and

Conclusion:

ChatGPT simulated general knowledge on the researched topics. Regarding Enuresis, the provided definition was partially correct, as the generic response allowed for misinterpretation. For VUR, the response was considered appropriate. For pMU it was partially correct, lacking essential aspects of its definition such as the diameter of the dilatation of the ureter. Unnecessary exams were suggested, for Enuresis and pMU. Regarding the treatment of the conditions mentioned, it specified treatments for Enuresis that are ineffective, such as bladder training. Therefore, ChatGPT responses present a combination of accurate information, but also incomplete, ambiguous and, occasionally, misleading details.
Key words

Full text: 1 Database: LILACS Language: En Journal: Int. braz. j. urol Journal subject: UROLOGIA Year: 2024 Type: Article Affiliation country: Brazil / Canada / United States

Full text: 1 Database: LILACS Language: En Journal: Int. braz. j. urol Journal subject: UROLOGIA Year: 2024 Type: Article Affiliation country: Brazil / Canada / United States