Artificial Intelligence in Predicting Postoperative Surgical Complications

IF 0.4 4区 医学 Q4 SURGERY
Kaushik Bhattacharya, Neela Bhattacharya, Sandeep Kumar, Vipul D. Yagnik, Pankaj Garg, Prema Ram Choudhary
{"title":"Artificial Intelligence in Predicting Postoperative Surgical Complications","authors":"Kaushik Bhattacharya, Neela Bhattacharya, Sandeep Kumar, Vipul D. Yagnik, Pankaj Garg, Prema Ram Choudhary","doi":"10.1007/s12262-024-04081-2","DOIUrl":null,"url":null,"abstract":"<p>Artificial intelligence (AI), once integrated into medicine, has transformed its role from a mere statistical tool to a sophisticated system capable of guiding surgical procedures and predicting outcomes. AI algorithms utilize machine learning (ML), deep learning, and neural networks to analyze large datasets and identify patterns, ultimately making accurate predictions about patient outcomes. Through continuous learning, adaptation, and updating, these systems assist healthcare professionals in the diagnosis and offer real-time guidance during surgical interventions, reducing surgical error and postoperative complications. This evolution marks a paradigm shift, enhancing precision, efficiency, and, ultimately, patient care in surgery. This review article explores the critical role of AI in predicting surgical complications and discusses associated challenges and ethical considerations.</p>","PeriodicalId":13391,"journal":{"name":"Indian Journal of Surgery","volume":null,"pages":null},"PeriodicalIF":0.4000,"publicationDate":"2024-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Indian Journal of Surgery","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1007/s12262-024-04081-2","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"SURGERY","Score":null,"Total":0}
引用次数: 0

Abstract

Artificial intelligence (AI), once integrated into medicine, has transformed its role from a mere statistical tool to a sophisticated system capable of guiding surgical procedures and predicting outcomes. AI algorithms utilize machine learning (ML), deep learning, and neural networks to analyze large datasets and identify patterns, ultimately making accurate predictions about patient outcomes. Through continuous learning, adaptation, and updating, these systems assist healthcare professionals in the diagnosis and offer real-time guidance during surgical interventions, reducing surgical error and postoperative complications. This evolution marks a paradigm shift, enhancing precision, efficiency, and, ultimately, patient care in surgery. This review article explores the critical role of AI in predicting surgical complications and discusses associated challenges and ethical considerations.

人工智能在预测术后手术并发症中的应用
人工智能(AI)曾一度融入医学领域,如今已从单纯的统计工具转变为能够指导外科手术和预测结果的复杂系统。人工智能算法利用机器学习 (ML)、深度学习和神经网络来分析大型数据集并识别模式,最终对患者的预后做出准确预测。通过不断学习、适应和更新,这些系统可以协助医疗保健专业人员进行诊断,并在手术干预期间提供实时指导,从而减少手术误差和术后并发症。这一演变标志着模式的转变,提高了外科手术的精确度和效率,并最终改善了对患者的护理。这篇综述文章探讨了人工智能在预测手术并发症方面的关键作用,并讨论了相关的挑战和伦理问题。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
CiteScore
0.60
自引率
25.00%
发文量
412
审稿时长
6-12 weeks
期刊介绍: The Indian Journal of Surgery is the official publication of the Association of Surgeons of India that considers for publication articles in all fields of surgery. Issues are published bimonthly in the months of February, April, June, August, October and December. The journal publishes Original article, Point of technique, Review article, Case report, Letter to editor, Teachers and surgeons from the past - A short (up to 500 words) bio sketch of a revered teacher or surgeon whom you hold in esteem and Images in surgery, surgical pathology, and surgical radiology. A trusted resource for peer-reviewed coverage of all types of surgery Provides a forum for surgeons in India and abroad to exchange ideas and advance the art of surgery The official publication of the Association of Surgeons of India 92% of authors who answered a survey reported that they would definitely publish or probably publish in the journal again The Indian Journal of Surgery offers peer-reviewed coverage of all types of surgery. The Journal publishes Original articles, Points of technique, Review articles, Case reports, Letters, Images and brief biographies of influential teachers and surgeons. The Journal spans General Surgery, Pediatric Surgery, Neurosurgery, Plastic Surgery, Cardiothoracic Surgery, Vascular Surgery, Rural Surgery, Orthopedic Surgery, Urology, Surgical Oncology, Radiology, Anaesthesia, Trauma Services, Minimal Access Surgery, Endocrine Surgery, GI Surgery, ENT, Colorectal Surgery, surgical practice and research. The Journal provides a forum for surgeons from India and abroad to exchange ideas, to propagate the advancement of science and the art of surgery and to promote friendship among surgeons in India and abroad. This has been a trusted platform for surgons in communicating up-to-date scientific informeation to the community.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信