How ChatGPT answers urinary incontinence questions: an exploratory study
Jak ChatGPT odpowiada na pytania dotyczące nietrzymania moczu: badanie eksploracyjne
How ChatGPT answers urinary incontinence questions: an exploratory study
Jak ChatGPT odpowiada na pytania dotyczące nietrzymania moczu: badanie eksploracyjne
Data
2024-01-29
Autorzy
Ölmez Yalazı, Rüveyda
Demirci, Nurdan
Tytuł czasopisma
ISSN czasopisma
Tytuł tomu
Wydawca
Akademia Bialska im. Jana Pawła II
Streszczenie
There have been advances in artificial intelligence (AI) and deep learning in the
last decade, and these technologies are becoming applicable in many industries such
as healthcare. In November 2022, the nonprofit OpenAI Inc., an AI company based
in San Francisco, California (USA) developed the chatbot named ChatGPT. They
claim that they have created an extremely popular application; a language-based
interaction chatbot. According to Hopkins et al., significant language models
like ChatGPT are expected to fundamentally alter how patients inquire about their
state of health. Making recommendations like “make an appointment with a GP”
or “go to the hospital” are given by the Babylon chatbot when used as a symptom
checker in the UK. A review emphasized the value of ChatGPT as a tool for
healthcare professionals because of its capacity to generate text in natural language,
summarize huge amounts of data, and provide particular answers, but also the
necessity of keeping up with the most recent tools and methods. In this context, it
is believed that incorrect content development can have major detrimental effects on
health services; healthcare practices place a strong emphasis on careful evaluation
by healthcare specialists.
Opis
Słowa kluczowe
ChatGPT,
urogynecology,
urinary incontinence,
artificial intelligence,
nursing,
uroginekologia,
nietrzymanie moczu,
sztuczna inteligencja,
pielęgniarstwo
Cytowanie
Ölmez Yalazı R, Demirci N. How ChatGPT answers urinary incontinence questions: an exploratory study. Health Prob Civil. 2024; 18(2): 127-129. https://doi.org/10.5114/hpc.2023.133989