Evaluating the reliability of ChatGPT as a tool for imaging test referral: a comparative study with a clinical decision support system

被引:8
|
作者
Rosen, Shani [1 ,2 ]
Saban, Mor [2 ]
机构
[1] Sheba Med Ctr, Gertner Inst Epidemiol & Hlth Policy, Inst Epidemiol & Hlth Policy Res, Dept Hlth Technol & Policy Evaluat, Ramat Gan, Israel
[2] Tel Aviv Univ, Sackler Fac Med, Sch Hlth Sci, Nursing Dept, Tel Aviv, Israel
关键词
ChatGPT; ESR iGuide; Imaging; Artificial intelligence;
D O I
10.1007/s00330-023-10230-0
中图分类号
R8 [特种医学]; R445 [影像诊断学];
学科分类号
1002 ; 100207 ; 1009 ;
摘要
ObjectivesAs the technology continues to evolve and advance, we can expect to see artificial intelligence (AI) being used in increasingly sophisticated ways to make a diagnosis and decisions such as suggesting the most appropriate imaging referrals. We aim to explore whether Chat Generative Pretrained Transformer (ChatGPT) can provide accurate imaging referrals for clinical use that are at least as good as the ESR iGuide.MethodsA comparative study was conducted in a tertiary hospital. Data was collected from 97 consecutive cases that were admitted to the emergency department with abdominal complaints. We compared the imaging test referral recommendations suggested by the ESR iGuide and the ChatGPT and analyzed cases of disagreement. In addition, we selected cases where ChatGPT recommended a chest abdominal pelvis (CAP) CT (n = 66), and asked four specialists to grade the appropriateness of the referral.ResultsChatGPT recommendations were consistent with the recommendations provided by the ESR iGuide. No statistical differences were found between the appropriateness of referrals by age or gender. Using a sub-analysis of CAP cases, a high agreement between ChatGPT and the specialists was found. Cases of disagreement (12.4%) were further analyzed and presented themes of vague recommendations such as "it would be advisable" and "this would help to rule out."ConclusionsChatGPT's ability to guide the selection of appropriate tests may be comparable to some degree with the ESR iGuide. Features such as the clinical, ethical, and regulatory implications are still warranted and need to be addressed prior to clinical implementation. Further studies are needed to confirm these findings.Clinical relevance statementThe article explores the potential of using advanced language models, such as ChatGPT, in healthcare as a CDS for selecting appropriate imaging tests. Using ChatGPT can improve the efficiency of the decision-making processKey Points center dot ChatGPT recommendations were highly consistent with the recommendations provided by the ESR iGuide.center dot ChatGPT's ability in guiding the selection of appropriate tests may be comparable to some degree with ESR iGuide's.Key Points center dot ChatGPT recommendations were highly consistent with the recommendations provided by the ESR iGuide.center dot ChatGPT's ability in guiding the selection of appropriate tests may be comparable to some degree with ESR iGuide's.
引用
收藏
页码:2826 / 2837
页数:12
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