Journal of clinical anesthesia
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Randomized Controlled Trial Comparative Study
Using the nociception level index to compare the intraoperative antinociceptive effect of propofol and sevoflurane during clinical and experimental noxious stimulus in patients under general anesthesia.
Propofol and sevoflurane are two anesthetic agents widely used to induce and maintain general anesthesia (GA). Their intrinsic antinociceptive properties remain unclear and are still debated. ⋯ Despite a precise intraoperative experimental and clinical protocol using the NOL index, propofol does not provide a higher level of antinociception during anesthesia or analgesia after surgery when compared to sevoflurane. Anesthesiologists may prefer propofol over sevoflurane to reduce PONV or anesthesia-related pollution, but not for superior antinociceptive properties.
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Multicenter Study
Evaluating the accuracy of ChatGPT-4 in predicting ASA scores: A prospective multicentric study ChatGPT-4 in ASA score prediction.
This study investigates the potential of ChatGPT-4, developed by OpenAI, in enhancing medical decision-making processes, particularly in preoperative assessments using the American Society of Anesthesiologists (ASA) scoring system. The ASA score, a critical tool in evaluating patients' health status and anesthesia risks before surgery, categorizes patients from I to VI based on their overall health and risk factors. Despite its widespread use, determining accurate ASA scores remains a subjective process that may benefit from AI-supported assessments. This research aims to evaluate ChatGPT-4's capability to predict ASA scores accurately compared to expert anesthesiologists' assessments. ⋯ The findings suggest that ChatGPT-4 can significantly contribute to the medical field by supporting anesthesiologists in preoperative assessments. This study not only demonstrates ChatGPT-4's efficacy in medical data analysis and decision-making but also opens new avenues for AI applications in healthcare, particularly in enhancing patient safety and optimizing surgical outcomes. Further research is needed to refine AI models for complex case assessments and integrate them seamlessly into clinical workflows.