دورية أكاديمية
Artificial Intelligence as a Triage Tool during the Perioperative Period: Pilot Study of Accuracy and Accessibility for Clinical Application
| العنوان: | Artificial Intelligence as a Triage Tool during the Perioperative Period: Pilot Study of Accuracy and Accessibility for Clinical Application |
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| المؤلفون: | Carter J. Boyd, MD, MBA, Kshipra Hemal, MD, Thomas J. Sorenson, MD, Parth A. Patel, MD, Jonathan M. Bekisz, MD, MSci, Mihye Choi, MD, Nolan S. Karp, MD |
| المصدر: | Plastic and Reconstructive Surgery, Global Open, Vol 12, Iss 2, p e5580 (2024) |
| بيانات النشر: | Wolters Kluwer, 2024. |
| سنة النشر: | 2024 |
| المجموعة: | LCC:Surgery |
| مصطلحات موضوعية: | Surgery, RD1-811 |
| الوصف: | Background:. Given the dialogistic properties of ChatGPT, we hypothesized that this artificial intelligence (AI) function can be used as a self-service tool where clinical questions can be directly answered by AI. Our objective was to assess the content, accuracy, and accessibility of AI-generated content regarding common perioperative questions for reduction mammaplasty. Methods:. ChatGPT (OpenAI, February Version, San Francisco, Calif.) was used to query 20 common patient concerns that arise in the perioperative period of a reduction mammaplasty. Searches were performed in duplicate for both a general term and a specific clinical question. Query outputs were analyzed both objectively and subjectively. Descriptive statistics, t tests, and chi-square tests were performed where appropriate with a predetermined level of significance of P less than 0.05. Results:. From a total of 40 AI-generated outputs, mean word length was 191.8 words. Readability was at the thirteenth grade level. Regarding content, of all query outputs, 97.5% were on the appropriate topic. Medical advice was deemed to be reasonable in 100% of cases. General queries more frequently reported overarching background information, whereas specific queries more frequently reported prescriptive information (P < 0.0001). AI outputs specifically recommended following surgeon provided postoperative instructions in 82.5% of instances. Conclusions:. Currently available AI tools, in their nascent form, can provide recommendations for common perioperative questions and concerns for reduction mammaplasty. With further calibration, AI interfaces may serve as a tool for fielding patient queries in the future; however, patients must always retain the ability to bypass technology and be able to contact their surgeon. |
| نوع الوثيقة: | article |
| وصف الملف: | electronic resource |
| اللغة: | English |
| تدمد: | 2169-7574 00000000 |
| Relation: | http://journals.lww.com/prsgo/fulltext/10.1097/GOX.0000000000005580; https://doaj.org/toc/2169-7574 |
| DOI: | 10.1097/GOX.0000000000005580 |
| URL الوصول: | https://doaj.org/article/c062e4620bd64f3a895cb5462a7f38cf |
| رقم الأكسشن: | edsdoj.062e4620bd64f3a895cb5462a7f38cf |
| قاعدة البيانات: | Directory of Open Access Journals |
Full Text Finder | تدمد: | 21697574 00000000 |
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| DOI: | 10.1097/GOX.0000000000005580 |