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Usefulness and Accuracy of Artificial Intelligence Chatbot Responses to Patient Questions for Neurosurgical Procedures.
Gajjar, Avi A; Kumar, Rohit Prem; Paliwoda, Ethan D; Kuo, Cathleen C; Adida, Samuel; Legarreta, Andrew D; Deng, Hansen; Anand, Sharath Kumar; Hamilton, D Kojo; Buell, Thomas J; Agarwal, Nitin; Gerszten, Peter C; Hudson, Joseph S.
Afiliación
  • Gajjar AA; Department of Neurological Surgery, University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania, USA.
  • Kumar RP; Department of Neurological Surgery, Albany Medical College, Albany, New York, USA.
  • Paliwoda ED; Department of Neurological Surgery, University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania, USA.
  • Kuo CC; Albany Medical College, Albany, New York, USA.
  • Adida S; Department of Neurological Surgery, Jacobs School of Medicine and Biomedical Sciences at University at Buffalo, New York, New York, USA.
  • Legarreta AD; Department of Neurological Surgery, University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania, USA.
  • Deng H; University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania, USA.
  • Anand SK; Department of Neurological Surgery, University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania, USA.
  • Hamilton DK; Department of Neurological Surgery, University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania, USA.
  • Buell TJ; Department of Neurological Surgery, University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania, USA.
  • Agarwal N; Department of Neurological Surgery, University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania, USA.
  • Gerszten PC; Department of Neurological Surgery, University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania, USA.
  • Hudson JS; Department of Neurological Surgery, University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania, USA.
Neurosurgery ; 2024 Feb 14.
Article en En | MEDLINE | ID: mdl-38353558
ABSTRACT
BACKGROUND AND

OBJECTIVES:

The Internet has become a primary source of health information, leading patients to seek answers online before consulting health care providers. This study aims to evaluate the implementation of Chat Generative Pre-Trained Transformer (ChatGPT) in neurosurgery by assessing the accuracy and helpfulness of artificial intelligence (AI)-generated responses to common postsurgical questions.

METHODS:

A list of 60 commonly asked questions regarding neurosurgical procedures was developed. ChatGPT-3.0, ChatGPT-3.5, and ChatGPT-4.0 responses to these questions were recorded and graded by numerous practitioners for accuracy and helpfulness. The understandability and actionability of the answers were assessed using the Patient Education Materials Assessment Tool. Readability analysis was conducted using established scales.

RESULTS:

A total of 1080 responses were evaluated, equally divided among ChatGPT-3.0, 3.5, and 4.0, each contributing 360 responses. The mean helpfulness score across the 3 subsections was 3.511 ± 0.647 while the accuracy score was 4.165 ± 0.567. The Patient Education Materials Assessment Tool analysis revealed that the AI-generated responses had higher actionability scores than understandability. This indicates that the answers provided practical guidance and recommendations that patients could apply effectively. On the other hand, the mean Flesch Reading Ease score was 33.5, suggesting that the readability level of the responses was relatively complex. The Raygor Readability Estimate scores ranged within the graduate level, with an average score of the 15th grade.

CONCLUSION:

The artificial intelligence chatbot's responses, although factually accurate, were not rated highly beneficial, with only marginal differences in perceived helpfulness and accuracy between ChatGPT-3.0 and ChatGPT-3.5 versions. Despite this, the responses from ChatGPT-4.0 showed a notable improvement in understandability, indicating enhanced readability over earlier versions.

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Tipo de estudio: Guideline Idioma: En Revista: Neurosurgery Año: 2024 Tipo del documento: Article País de afiliación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Tipo de estudio: Guideline Idioma: En Revista: Neurosurgery Año: 2024 Tipo del documento: Article País de afiliación: Estados Unidos