Comparison of AI applications and anesthesiologist’s anesthesia method choices
Abstract Background In medicine, Artificial intelligence has begun to be utilized in nearly every domain, from medical devices to the interpretation of imaging studies. There is still a need for more experience and more studies related to the comprehensive use of AI in medicine. The aim of the prese...
Saved in:
| Main Authors: | , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
BMC
2025-01-01
|
| Series: | BMC Anesthesiology |
| Subjects: | |
| Online Access: | https://doi.org/10.1186/s12871-024-02882-2 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1841559165386883072 |
|---|---|
| author | Enes Çelik Mehmet Ali Turgut Mesut Aydoğan Metin Kılınç İzzettin Toktaş Hakan Akelma |
| author_facet | Enes Çelik Mehmet Ali Turgut Mesut Aydoğan Metin Kılınç İzzettin Toktaş Hakan Akelma |
| author_sort | Enes Çelik |
| collection | DOAJ |
| description | Abstract Background In medicine, Artificial intelligence has begun to be utilized in nearly every domain, from medical devices to the interpretation of imaging studies. There is still a need for more experience and more studies related to the comprehensive use of AI in medicine. The aim of the present study is to evaluate the ability of AI to make decisions regarding anesthesia methods and to compare the most popular AI programs from this perspective. Methods The study included orthopedic patients over 18 years of age scheduled for limb surgery within a 1-month period. Patients classified as ASA I-III who were evaluated in the anesthesia clinic during the preoperative period were included in the study. The anesthesia method preferred by the anesthesiologist during the operation and the patient’s demographic data, comorbidities, medications, and surgical history were recorded. The obtained patient data were discussed as if presenting a patient scenario using the free versions of the ChatGPT, Copilot, and Gemini applications by a different anesthesiologist who did not perform the operation. Results Over the course of 1 month, a total of 72 patients were enrolled in the study. It was observed that both the anesthesia specialists and the Gemini application chose spinal anesthesia for the same patient in 68.5% of cases. This rate was higher compared to the other AI applications. For patients taking medication, it was observed that the Gemini application presented choices that were highly compatible (85.7%) with the anesthesiologists’ preferences. Conclusion AI cannot fully master the guidelines and exceptional and specific cases that arrive in the course of medical treatment. Thus, we believe that AI can serve as a valuable assistant rather than replacing doctors. |
| format | Article |
| id | doaj-art-b0e57b3006e743b1ab7943bb2c78a5a0 |
| institution | Kabale University |
| issn | 1471-2253 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | BMC |
| record_format | Article |
| series | BMC Anesthesiology |
| spelling | doaj-art-b0e57b3006e743b1ab7943bb2c78a5a02025-01-05T12:44:07ZengBMCBMC Anesthesiology1471-22532025-01-012511710.1186/s12871-024-02882-2Comparison of AI applications and anesthesiologist’s anesthesia method choicesEnes Çelik0Mehmet Ali Turgut1Mesut Aydoğan2Metin Kılınç3İzzettin Toktaş4Hakan Akelma5Department of Anesthesiology and Reanimation, Mardin Artuklu University School of MedicineMardin Training and Research Hospital, Anesthesia ClinicPrivate Baglar Hospital, Anesthesia ClinicDepartment of Anesthesiology and Reanimation, Mardin Artuklu University School of MedicineDepartment of Public Health, Faculty of Medicine, Mardin Artuklu UniversityDepartment of Anesthesiology and Reanimation, Mardin Artuklu University School of MedicineAbstract Background In medicine, Artificial intelligence has begun to be utilized in nearly every domain, from medical devices to the interpretation of imaging studies. There is still a need for more experience and more studies related to the comprehensive use of AI in medicine. The aim of the present study is to evaluate the ability of AI to make decisions regarding anesthesia methods and to compare the most popular AI programs from this perspective. Methods The study included orthopedic patients over 18 years of age scheduled for limb surgery within a 1-month period. Patients classified as ASA I-III who were evaluated in the anesthesia clinic during the preoperative period were included in the study. The anesthesia method preferred by the anesthesiologist during the operation and the patient’s demographic data, comorbidities, medications, and surgical history were recorded. The obtained patient data were discussed as if presenting a patient scenario using the free versions of the ChatGPT, Copilot, and Gemini applications by a different anesthesiologist who did not perform the operation. Results Over the course of 1 month, a total of 72 patients were enrolled in the study. It was observed that both the anesthesia specialists and the Gemini application chose spinal anesthesia for the same patient in 68.5% of cases. This rate was higher compared to the other AI applications. For patients taking medication, it was observed that the Gemini application presented choices that were highly compatible (85.7%) with the anesthesiologists’ preferences. Conclusion AI cannot fully master the guidelines and exceptional and specific cases that arrive in the course of medical treatment. Thus, we believe that AI can serve as a valuable assistant rather than replacing doctors.https://doi.org/10.1186/s12871-024-02882-2Artificial intelligenceAnesthesiaMedical decision-makingPreoperative procedures |
| spellingShingle | Enes Çelik Mehmet Ali Turgut Mesut Aydoğan Metin Kılınç İzzettin Toktaş Hakan Akelma Comparison of AI applications and anesthesiologist’s anesthesia method choices BMC Anesthesiology Artificial intelligence Anesthesia Medical decision-making Preoperative procedures |
| title | Comparison of AI applications and anesthesiologist’s anesthesia method choices |
| title_full | Comparison of AI applications and anesthesiologist’s anesthesia method choices |
| title_fullStr | Comparison of AI applications and anesthesiologist’s anesthesia method choices |
| title_full_unstemmed | Comparison of AI applications and anesthesiologist’s anesthesia method choices |
| title_short | Comparison of AI applications and anesthesiologist’s anesthesia method choices |
| title_sort | comparison of ai applications and anesthesiologist s anesthesia method choices |
| topic | Artificial intelligence Anesthesia Medical decision-making Preoperative procedures |
| url | https://doi.org/10.1186/s12871-024-02882-2 |
| work_keys_str_mv | AT enescelik comparisonofaiapplicationsandanesthesiologistsanesthesiamethodchoices AT mehmetaliturgut comparisonofaiapplicationsandanesthesiologistsanesthesiamethodchoices AT mesutaydogan comparisonofaiapplicationsandanesthesiologistsanesthesiamethodchoices AT metinkılınc comparisonofaiapplicationsandanesthesiologistsanesthesiamethodchoices AT izzettintoktas comparisonofaiapplicationsandanesthesiologistsanesthesiamethodchoices AT hakanakelma comparisonofaiapplicationsandanesthesiologistsanesthesiamethodchoices |