Artificial Intelligence and Machine Learning in General Surgery: A Narrative Review of Transformative Technologies
- سال انتشار: 1404
- محل انتشار: مجله جراحی و تروما، دوره: 13، شماره: 2
- کد COI اختصاصی: JR_JSTR-13-2_002
- زبان مقاله: انگلیسی
- تعداد مشاهده: 36
نویسندگان
Medical Student, School of Medicine, Shahid Beheshti University of Medical Sciences, Tehran, Iran
General Surgery Department, Modarres Hospital, Shahid Beheshti University of Medical Sciences, Tehran, Iran
Medical Student, School of Medicine, Shahid Beheshti University of Medical Sciences, Tehran, Iran
General Surgery Department, Modarres Hospital, Shahid Beheshti University of Medical Sciences, Tehran, Iran
Critical Care Quality Improvement Research Center, Shahid Modarres Hospital, Shahid Beheshti University of Medical Sciences, Tehran, Iran
چکیده
As computational power and data science continue to advance at an unprecedented pace, their influence is reshaping various scientific fields, including medicine. While machine learning (ML) has already made substantial strides in diagnostic areas, such as radiology and pathology, its role in surgery is an emerging frontier. This narrative review examines the current literature on artificial intelligence (AI) and ML applications in general surgery, with a particular focus on their ability to support clinical decision-making, streamline surgical workflows, and improve patient outcomes. Key topics explored include predicting discharge dates, assessing preoperative risk for both elective and emergency surgeries, and the innovative use of AI in resident education and simulation training. By evaluating these developments, the practical challenges, ethical concerns, and future prospects of integrating AI into surgical practice were discussed. Ultimately, this review highlights the transformative potential of AI and ML in surgery, suggesting that these technologies will play a key role in enhancing care quality and the professional growth of surgeons.کلیدواژه ها
Artificial Intelligence (AI), General Surgery, Machine Learning (ML)اطلاعات بیشتر در مورد COI
COI مخفف عبارت CIVILICA Object Identifier به معنی شناسه سیویلیکا برای اسناد است. COI کدی است که مطابق محل انتشار، به مقالات کنفرانسها و ژورنالهای داخل کشور به هنگام نمایه سازی بر روی پایگاه استنادی سیویلیکا اختصاص می یابد.
کد COI به مفهوم کد ملی اسناد نمایه شده در سیویلیکا است و کدی یکتا و ثابت است و به همین دلیل همواره قابلیت استناد و پیگیری دارد.