Utility and Comparative Performance of Current Artificial Intelligence Large Language Models as Postoperative Medical Support Chatbots in Aesthetic Surgery
Background Large language models (LLMs) have revolutionized the way plastic surgeons and their patients can access and leverage artificial intelligence (AI). Objectives The present study aims to compare the performance of 2 current publicly available and patient-accessible LLMs in the potential application of AI as postoperative medical support chatbots in an aesthetic surgeon's practice. Methods Twenty-two simulated postoperative patient presentations following aesthetic breast plastic surgery were devised and expert-validated. Complications varied in their latency within the postoperative period, as well as urgency of required medical attention. In response to each patient-reported presentation, Open AI's ChatGPT and Google's Bard, in their unmodified and freely available versions, were objectively assessed for their comparative accuracy in generating an appropriate differential diagnosis, most-likely diagnosis, suggested medical disposition, treatments or interventions to begin from home, and/or red flag signs/symptoms indicating deterioration. Results ChatGPT cumulatively and significantly outperformed Bard across all objective assessment metrics examined (66% vs 55%, respectively; P < .05). Accuracy in generating an appropriate differential diagnosis was 61% for ChatGPT vs 57% for Bard (P = .45). ChatGPT asked an average of 9.2 questions on history vs Bard's 6.8 questions (P < .001), with accuracies of 91% vs 68% reporting the most-likely diagnosis, respectively (P < .01). Appropriate medical dispositions were suggested with accuracies of 50% by ChatGPT vs 41% by Bard (P = .40); appropriate home interventions/treatments with accuracies of 59% vs 55% (P = .94), and red flag signs/symptoms with accuracies of 79% vs 54% (P < .01), respectively. Detailed and comparative performance breakdowns according to complication latency and urgency are presented. Conclusions ChatGPT represents the superior LLM for the potential application of AI technology in postoperative medical support chatbots. Imperfect performance and limitations discussed may guide the necessary refinement to facilitate adoption.
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Mayo Clin, Div Plast Surg, Jacksonville, FL 32224 USAMayo Clin, Div Plast Surg, Jacksonville, FL 32224 USA
Gomez-Cabello, Cesar A.
Borna, Sahar
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Mayo Clin, Div Plast Surg, Jacksonville, FL 32224 USAMayo Clin, Div Plast Surg, Jacksonville, FL 32224 USA
Borna, Sahar
Pressman, Sophia M.
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Mayo Clin, Div Plast Surg, Jacksonville, FL 32224 USAMayo Clin, Div Plast Surg, Jacksonville, FL 32224 USA
Pressman, Sophia M.
Haider, Syed Ali
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Mayo Clin, Div Plast Surg, Jacksonville, FL 32224 USAMayo Clin, Div Plast Surg, Jacksonville, FL 32224 USA
Haider, Syed Ali
Sehgal, Ajai
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Mayo Clin, Ctr Digital Hlth, Rochester, MN 55905 USAMayo Clin, Div Plast Surg, Jacksonville, FL 32224 USA
Sehgal, Ajai
Leibovich, Bradley C.
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Mayo Clin, Ctr Digital Hlth, Rochester, MN 55905 USA
Mayo Clin, Dept Urol, Rochester, MN 55905 USAMayo Clin, Div Plast Surg, Jacksonville, FL 32224 USA
Leibovich, Bradley C.
Forte, Antonio J.
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Mayo Clin, Div Plast Surg, Jacksonville, FL 32224 USA
Mayo Clin, Ctr Digital Hlth, Rochester, MN 55905 USAMayo Clin, Div Plast Surg, Jacksonville, FL 32224 USA
机构:
ITU, WHO Focus Grp AI Hlth, Top Grp Dent, Geneva, Switzerland
King Georges Med Univ, Dept Oral Med & Radiol, Lucknow, IndiaRiga Stradins Univ, Dept Conservat Dent & Oral Hlth, Riga, Latvia
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Macau Univ Sci & Technol, Inst AI Med, Fac Med, Macau 999078, Peoples R ChinaMacau Univ Sci & Technol, Inst AI Med, Fac Med, Macau 999078, Peoples R China
Baptista-Hon, Daniel T.
Wang, Kai
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Peking Univ, Coll Future Technol, Dept Big Data & Biomed AI, Beijing 100871, Peoples R ChinaMacau Univ Sci & Technol, Inst AI Med, Fac Med, Macau 999078, Peoples R China
Wang, Kai
Lu, Wenyang
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Wenzhou Med Univ, Inst Adv Study Eye Hlth & Dis, Wenzhou 325027, Zhejiang, Peoples R ChinaMacau Univ Sci & Technol, Inst AI Med, Fac Med, Macau 999078, Peoples R China
Lu, Wenyang
Sun, Zhuo
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Third Peoples Hosp Changzhou, Dept Ophthalmol, Changzhou 203001, Jiangsu, Peoples R China
Wenzhou Med Univ, Inst Adv Study Eye Hlth & Dis, Wenzhou 325027, Zhejiang, Peoples R ChinaMacau Univ Sci & Technol, Inst AI Med, Fac Med, Macau 999078, Peoples R China
Sun, Zhuo
Nie, Sheng
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Southern Med Univ, Nanfang Hosp, State Key Lab Organ Failure Res, Div Nephrol,Natl Clin Res Ctr Kidney Dis, Guangzhou 510515, Guangdong, Peoples R ChinaMacau Univ Sci & Technol, Inst AI Med, Fac Med, Macau 999078, Peoples R China
Nie, Sheng
Yin, Yun
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City Univ Macau, Fac Hlth & Wellness, Fac Business, Macau 999078, Peoples R ChinaMacau Univ Sci & Technol, Inst AI Med, Fac Med, Macau 999078, Peoples R China
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Institute for AI in Medicine, Faculty of Medicine, Macau University of Science and Technology, Macau Special Administrative Region, ChinaInstitute for AI in Medicine, Faculty of Medicine, Macau University of Science and Technology, Macau Special Administrative Region, China
BaptistaHon Daniel T
Wang Kai
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Department of Big Data and Biomedical AI, College of Future Technology, Peking University, Beijing, ChinaInstitute for AI in Medicine, Faculty of Medicine, Macau University of Science and Technology, Macau Special Administrative Region, China
Wang Kai
Lu Wenyang
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Institute for Advanced Study on Eye Health and Diseases, Wenzhou Medical University, Wenzhou, Zhejiang, ChinaInstitute for AI in Medicine, Faculty of Medicine, Macau University of Science and Technology, Macau Special Administrative Region, China
Lu Wenyang
Sun Zhuo
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Department of Ophthalmology, The Third People’s Hospital of Changzhou, Changzhou, Jiangsu, China
Institute for Advanced Study on Eye Health and Diseases, Wenzhou Medical University, Wenzhou, Zhejiang, ChinaInstitute for AI in Medicine, Faculty of Medicine, Macau University of Science and Technology, Macau Special Administrative Region, China
Sun Zhuo
Nie Sheng
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Division of Nephrology, National Clinical Research Center for Kidney Disease, State Key Laboratory of Organ Failure Research, Nanfang Hospital, Southern Medical University, Guangzhou, Guangdong, ChinaInstitute for AI in Medicine, Faculty of Medicine, Macau University of Science and Technology, Macau Special Administrative Region, China
Nie Sheng
Yin Yun
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Faculty of Health and Wellness, Faculty of Business, City University of Macau, Macau Special Administrative Region,Institute for AI in Medicine, Faculty of Medicine, Macau University of Science and Technology, Macau Special Administrative Region, China