Artificial Intelligence Chatbots' Understanding of the Risks and Benefits of Computed Tomography and Magnetic Resonance Imaging Scenarios.

Bard CT ChatGPT Google MRI contrast risks

Journal

Canadian Association of Radiologists journal = Journal l'Association canadienne des radiologistes
ISSN: 1488-2361
Titre abrégé: Can Assoc Radiol J
Pays: United States
ID NLM: 8812910

Informations de publication

Date de publication:
06 Jan 2024
Historique:
medline: 6 1 2024
pubmed: 6 1 2024
entrez: 6 1 2024
Statut: aheadofprint

Résumé

Patients may seek online information to better understand medical imaging procedures. The purpose of this study was to assess the accuracy of information provided by 2 popular artificial intelligence (AI) chatbots pertaining to common imaging scenarios' risks, benefits, and alternatives. Fourteen imaging-related scenarios pertaining to computed tomography (CT) or magnetic resonance imaging (MRI) were used. Factors including the use of intravenous contrast, the presence of renal disease, and whether the patient was pregnant were included in the analysis. For each scenario, 3 prompts for outlining the (1) risks, (2) benefits, and (3) alternative imaging choices or potential implications of not using contrast were inputted into ChatGPT and Bard. A grading rubric and a 5-point Likert scale was used by 2 independent reviewers to grade responses. Prompt variability and chatbot context dependency were also assessed. ChatGPT's performance was superior to Bard's in accurately responding to prompts per Likert grading (4.36 ± 0.63 vs 3.25 ± 1.03 seconds, ChatGPT performed superior to Bard at outlining risks, benefits, and alternatives to common imaging scenarios. Generally, context dependency and prompt variability did not change chatbot response content. Due to the lack of detailed scientific reasoning and inability to provide patient-specific information, both AI chatbots have limitations as a patient information resource.

Identifiants

pubmed: 38183235
doi: 10.1177/08465371231220561
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

8465371231220561

Déclaration de conflit d'intérêts

Declaration of Conflicting InterestsThe author(s) declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.

Auteurs

Nikhil S Patil (NS)

Michael G. DeGroote School of Medicine, McMaster University, Hamilton, ON, Canada.

Ryan S Huang (RS)

Temerty Faculty of Medicine, University of Toronto, Toronto, ON, Canada.

Scott Caterine (S)

Department of Radiology, McMaster University, Hamilton, ON, Canada.

Jason Yao (J)

Department of Radiology, McMaster University, Hamilton, ON, Canada.

Natasha Larocque (N)

Department of Radiology, McMaster University, Hamilton, ON, Canada.

Christian B van der Pol (CB)

Department of Radiology, McMaster University, Hamilton, ON, Canada.

Euan Stubbs (E)

Department of Radiology, McMaster University, Hamilton, ON, Canada.

Classifications MeSH