Artificial Intelligence in Medicine: A Specialty-Level Overview of Emerging AI Trends.

IF 1.8 4区 医学 Q3 SURGERY
Jesse L Popover, Spencer P Wallace, Jeremie Feldman, George Chastain, Chris Kalathia, Adnan Imam, Majd Almasri, Paul G Toomey
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Abstract

Objective: Artificial intelligence (AI) is a turning point in medical advancement. Despite the burgeoning research in this field, there exists a general lack of overview of where AI is being most utilized. This study reviews and describes techniques and trends of AI in the major medical specialties.

Method: A literature search was conducted through PubMed in 2024 using two different search methods. Twenty-nine medical specialties were included, including all 24 major medical board specialties and five additional subspecialties.

Results: There were 143,578 publications involving AI identified with most these (87%) published in the last ten years (124,206) and 52% (74,239) in the last two years. Radiology and Pathology publications were the largest cohorts, 18% (25,319) and 17% (23,828), respectively. Plastic Surgery (1,053), Hepatobiliary (662), and Allergy/Immunology (449) were the least published. There has been a 10,859% growth rate in annual publications across all medical specialties, with Ophthalmology and Preventative Medicine being the fastest-growing areas of research despite Radiology and Pathology being the most researched to date.

Conclusion: This review underscores AI's profound impact on medical research, highlighting its significant growth and utilization across various specialties. AI's influence is most pronounced in Radiology and Pathology, but the substantial increase in publications in Ophthalmology and Preventative Medicine suggests new emerging areas of focus. The ongoing expansion of AI in medicine presents a promising horizon for addressing complex healthcare challenges, fostering a deeper and more comprehensive integration across all specialties.

医学中的人工智能:新兴人工智能趋势的专业级概述。
目的:人工智能(AI)是医学进步的转折点。尽管这一领域的研究正在蓬勃发展,但人们普遍缺乏对人工智能在哪些领域得到了最大利用的概述。本研究回顾并描述了人工智能在主要医学专业中的技术和趋势。方法:采用两种不同的检索方法在2024年PubMed进行文献检索。包括29个医学专科,包括医疗委员会所有24个主要专科和另外5个专科。结果:共收录人工智能相关文献143578篇,其中近10年发表的文献最多(87%)(124206篇),近2年发表的文献占52%(74239篇)。放射学和病理学出版物是最大的队列,分别为18%(25,319)和17%(23,828)。整形外科(1053)、肝胆(662)和过敏/免疫学(449)发表的论文最少。所有医学专业的年度出版物增长率为10,859%,其中眼科和预防医学是增长最快的研究领域,尽管放射学和病理学是迄今为止研究最多的领域。结论:本综述强调了人工智能对医学研究的深远影响,突出了其在各个专业的显著增长和应用。人工智能的影响在放射学和病理学中最为明显,但眼科和预防医学出版物的大幅增加表明了新的重点领域。人工智能在医学领域的持续扩展为解决复杂的医疗保健挑战提供了一个有希望的前景,促进了所有专业之间更深入、更全面的整合。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
2.40
自引率
0.00%
发文量
69
审稿时长
4-8 weeks
期刊介绍: JSLS, Journal of the Society of Laparoscopic & Robotic Surgeons publishes original scientific articles on basic science and technical topics in all the fields involved with laparoscopic, robotic, and minimally invasive surgery. CRSLS, MIS Case Reports from SLS is dedicated to the publication of Case Reports in the field of minimally invasive surgery. The journals seek to advance our understandings and practice of minimally invasive, image-guided surgery by providing a forum for all relevant disciplines and by promoting the exchange of information and ideas across specialties.
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