Dies ist eine Übersichtsseite mit Metadaten zu dieser wissenschaftlichen Arbeit. Der vollständige Artikel ist beim Verlag verfügbar.
Artificial Intelligence Based Chatbots as Professional Medical Consultants in Oral Surgery: Are they reliable? Comparative Study (Preprint)
0
Zitationen
2
Autoren
2024
Jahr
Abstract
<sec> <title>BACKGROUND</title> With advances in artificial intelligence (AI) technologies, AI-based chatbots have become promising tools for generating medical information. Given their widespread use and easy accessibility, it is important to comprehensively evaluate the quality, accuracy, and safety of the information they produce to ensure their effectiveness as reliable sources in healthcare. </sec> <sec> <title>OBJECTIVE</title> The purpose of the study is to examine the reliability of chatbots and their role as professional consultants. </sec> <sec> <title>METHODS</title> 64 questions were generated, including systemic diseases and medications for which professional consultation is often requested and common conditions that may raise concerns during performing oral surgery. The questions were posed to ChatGPT 3,5 and Claude-instant at 2 sessions with 1 week interval. The answers were recorded and rated by 2 experienced oral surgeons by using 2 evaluation metrics: A modified DISCERN tool, a subset of the original, was used to evaluate the answers in terms of quality, and the Likert scale(LS) was used to evaluate the answers in terms of accuracy (6 point LS) and completeness (3 point LS). Statistical analyses, including intraclass correlation, Mann-Whitney U test, skewness and kurtosis coefficients calculations were conducted to assess and compare the performance of the chatbots. </sec> <sec> <title>RESULTS</title> In terms of intrarater agreement, ChatGPT demonstrated a high level of quality and accuracy in both sessions. Additionally, quality scores of ChatGPT was found statistically significantly higher than Claude instant. </sec> <sec> <title>CONCLUSIONS</title> The evaluated chatbots exhibited a remarkable capacity to generate valuable medical content. Our particular view is that, although they are currently insufficient to serve as a single source of information, AI-based chatbots will gain greater acceptance among healthcare professionals in the near future and can provide a quick solution to the high demand for medical care. </sec>
Ähnliche Arbeiten
Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI
2019 · 8.260 Zit.
Stop explaining black box machine learning models for high stakes decisions and use interpretable models instead
2019 · 8.116 Zit.
High-performance medicine: the convergence of human and artificial intelligence
2018 · 7.493 Zit.
Proceedings of the 19th International Joint Conference on Artificial Intelligence
2005 · 5.776 Zit.
Peeking Inside the Black-Box: A Survey on Explainable Artificial Intelligence (XAI)
2018 · 5.438 Zit.