ChatGPT's learning and reasoning capacity in anesthesiology.
Introduction: Over the past few months, ChatGPT has raised a lot of interest given its ability to perform complex tasks through natural language and conversation. However, its use in clinical decision-making is limited and its application in the field of anesthesiology is unknown. Objective: To asse...
| Publicado en: | Colombian Journal of Anesthesiology / Revista Colombiana de Anestesiología Vol. 52; no. 1; pp. 1 - 9 |
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| Autores principales: | , , |
| Formato: | Artículo |
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Sociedad Colombiana de Anestesiologia y Reanimacion
Jan-Mar2024
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=lth&AN=176256753&site=ehost-live header: @attributes: shortDbName: lth uiTerm: 176256753 longDbName: MedicLatina uiTag: AN controlInfo: bkinfo: jinfo: jid: 01203347 B54X jtl: Colombian Journal of Anesthesiology / Revista Colombiana de Anestesiología issn: 01203347 maglogo: N pubinfo: dt: Jan-Mar2024 vid: 52 iid: 1 pid: 56584 pub: Sociedad Colombiana de Anestesiologia y Reanimacion artinfo: ui: 176256753 10.5554/22562087.e1092 ppf: 1 ppct: 8 formats: fmt: @attributes: type: P size: 856KB tig: atl: ChatGPT's learning and reasoning capacity in anesthesiology. aug: au: Cruz, Gustavo Pedroza, Santiago Ariza, Fredy affil: Anesthesiology Department, Fundación Valle del Lili. Cali, Colombia. Clinical Research Center, Fundación Valle del Lili. Cali, Colombia. su: American Society of Anesthesiologists ChatGPT Learning ability testing Anesthesiology Medical logic Error rates sug: subj: American Society of Anesthesiologists ChatGPT Learning ability testing Anesthesiology Medical logic Error rates keyword: Artificial intelligence Decision-making Difficult airway Learning Reasoning ab: Introduction: Over the past few months, ChatGPT has raised a lot of interest given its ability to perform complex tasks through natural language and conversation. However, its use in clinical decision-making is limited and its application in the field of anesthesiology is unknown. Objective: To assess ChatGPT’s basic and clinical reasoning and its learning ability in a performance test on general and specific anesthesia topics. Methods: A three-phase assessment was conducted. Basic knowledge of anesthesia was assessed in the first phase, followed by a review of difficult airway management and, finally, measurement of decision-making ability in ten clinical cases. The second and the third phases were conducted before and after feeding ChatGPT with the 2022 guidelines of the American Society of Anesthesiologists on difficult airway management. Results: On average, ChatGPT succeded 65% of the time in the first phase and 48% of the time in the second phase. Agreement in clinical cases was 20%, with 90% relevance and 10% error rate. After learning, ChatGPT improved in the second phase, and was correct 59% of the time, with agreement in clinical cases also increasing to 40%. Conclusions: ChatGPT showed acceptable accuracy in the basic knowledge test, high relevance in the management of specific difficult airway clinical cases, and the ability to improve after learning. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: Y custom: Copyright of Colombian Journal of Anesthesiology / Revista Colombiana de Anestesiología is the property of Sociedad Colombiana de Anestesiologia y Reanimacion and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. item: Colombian Journal of Anesthesiology / Revista Colombiana de Anestesiología holder: Sociedad Colombiana de Anestesiologia y Reanimacion dt: @attributes: year: 2024 holdings: @attributes: islocal: N |
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