Artificial intelligence in screening and diagnosis of surgical diseases: A narrative review.

IF 3.1 Q2 HEALTH CARE SCIENCES & SERVICES AIMS Public Health Pub Date : 2024-04-23 eCollection Date: 2024-01-01 DOI:10.3934/publichealth.2024028
Giuseppe Palomba, Agostino Fernicola, Marcello Della Corte, Marianna Capuano, Giovanni Domenico De Palma, Giovanni Aprea
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Abstract

Artificial intelligence (AI) is playing an increasing role in several fields of medicine. It is also gaining popularity among surgeons as a valuable screening and diagnostic tool for many conditions such as benign and malignant colorectal, gastric, thyroid, parathyroid, and breast disorders. In the literature, there is no review that groups together the various application domains of AI when it comes to the screening and diagnosis of main surgical diseases. The aim of this review is to describe the use of AI in these settings. We performed a literature review by searching PubMed, Web of Science, Scopus, and Embase for all studies investigating the role of AI in the surgical setting, published between January 01, 2000, and June 30, 2023. Our focus was on randomized controlled trials (RCTs), meta-analysis, systematic reviews, and observational studies, dealing with large cohorts of patients. We then gathered further relevant studies from the reference list of the selected publications. Based on the studies reviewed, it emerges that AI could strongly enhance the screening efficiency, clinical ability, and diagnostic accuracy for several surgical conditions. Some of the future advantages of this technology include implementing, speeding up, and improving the automaticity with which AI recognizes, differentiates, and classifies the various conditions.

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人工智能在外科疾病筛查和诊断中的应用:叙述性综述。
人工智能(AI)在多个医学领域发挥着越来越重要的作用。它作为许多疾病(如良性和恶性结直肠、胃、甲状腺、甲状旁腺和乳腺疾病)的重要筛查和诊断工具,也越来越受到外科医生的青睐。在文献中,还没有一篇综述将人工智能在主要外科疾病筛查和诊断方面的各种应用领域归纳在一起。本综述旨在介绍人工智能在这些领域的应用。我们通过搜索 PubMed、Web of Science、Scopus 和 Embase,对 2000 年 1 月 1 日至 2023 年 6 月 30 日期间发表的所有调查人工智能在外科手术中作用的研究进行了文献综述。我们将重点放在随机对照试验 (RCT)、荟萃分析、系统综述和观察性研究上,这些研究都涉及大型患者群体。然后,我们从所选出版物的参考文献列表中收集了更多相关研究。根据所审查的研究,我们发现人工智能可以大大提高筛查效率、临床能力和对几种外科疾病的诊断准确性。这项技术的一些未来优势包括实施、加速和提高人工智能识别、区分和分类各种病症的自动性。
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来源期刊
AIMS Public Health
AIMS Public Health HEALTH CARE SCIENCES & SERVICES-
CiteScore
4.80
自引率
0.00%
发文量
31
审稿时长
4 weeks
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