Browsing by Author "Turgut, Mehmet Ali"

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Comparison of AI Applications and Anesthesiologist's Anesthesia Method Choices
(BMC, 2025) Celik, Enes; Turgut, Mehmet Ali; Aydogan, Mesut; Kilinc, Metin; Toktas, Izzettin; Akelma, Hakan
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.
Ultrasound-Guided Regional Anesthesia in Permanent Pacemaker Implantation: an Observational Study
(MDPI, 2025) Akelma, Hakan; Celik, Enes; Ipek, Yusuf; Turgut, Mehmet Ali; Tanircan, Muhammed Rasit; Aktan, Adem; Karahan, Mehmet Zulkuf; Department of Surgical Medical Sciences / Cerrahi Tıp Bilimleri Bölümü; Department of Internal Medical Sciences / Dahili Tıp Bilimleri Bölümü; 10. Faculty of Medicine / Tıp Fakültesi; 01. Mardin Artuklu University / Mardin Artuklu Üniversitesi
Background and Objectives: When pacemakers were first introduced, their indications and implantation techniques were quite limited. Over 400,000 permanent pacemakers are implanted annually worldwide, mostly under local anesthesia (LA), which is preferred for its hemodynamic stability. However, inadequate LA often leads to excessive use of local anesthetics or analgesics. This study evaluates the efficacy of combining interscalene brachial plexus block (ISB) and superficial cervical plexus block (SCPB) as regional anesthesia (RA) techniques during permanent pacemaker implantation compared to LA. Materials and Methods: A total of 42 patients were divided into RA and LA groups. The RA group underwent ISB and SCPB under ultrasound guidance, while the LA group received traditional local anesthetic methods. Results: The RA group exhibited superior pain control, reduced analgesic requirements, and higher satisfaction rates compared to the LA group. Ultrasound guidance enhanced block success rates and minimized complications. Conclusions: ISB and SCPB offer a superior alternative to LA for pacemaker implantation, especially in patients with anxiety or insufficient LA response.