Editorial: Artificial Intelligence (AI), Digital Image Analysis, and the Future of Cancer Diagnosis and Prognosis.

IF 3.1 4区医学 Q1 Medicine

Medical Science Monitor Pub Date : 2024-11-01 DOI:10.12659/MSM.947038

Dinah V Parums

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引用次数: 0

Abstract

On October 8 2024, the Royal Swedish Academy of Sciences announced the 2024 Nobel Prize in Physics was awarded to Hopfield and Hinton for their foundation research on machine learning with artificial neural networks, which resulted in the current applications for artificial intelligence (AI). Digital diagnostic histopathology combines image capture with image analysis and uses digital tools to collect, analyze, and share diagnostic information. An increase in chronic diseases, diagnostic departmental workloads, and diagnostic tests to support targeted therapy in cancer patients have driven the use and development of image analysis systems, and several medical device companies have recently developed whole-slide scanning devices. In April 2017, the US Food and Drug Administration (FDA) permitted marketing authorization for the first whole slide imaging (WSI) system. During 2024, large-scale studies from several cancer centers have shown the potential for diagnostic reporting for real-world data and whole-slide modeling to develop validated diagnostic AI algorithms. This editorial discusses why recent advances and applications in AI and digital image analysis may have an important future role in cancer diagnosis and prognosis.

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社论：人工智能（AI）、数字图像分析与癌症诊断和预后的未来。

2024 年 10 月 8 日，瑞典皇家科学院宣布将 2024 年诺贝尔物理学奖授予霍普菲尔德和辛顿，以表彰他们利用人工神经网络进行机器学习的基础研究，该研究促成了当前人工智能（AI）的应用。数字诊断组织病理学将图像采集与图像分析相结合，并使用数字工具收集、分析和共享诊断信息。慢性疾病的增加、诊断部门工作量的增加以及支持癌症患者靶向治疗的诊断检测，推动了图像分析系统的应用和发展，一些医疗设备公司最近开发出了全切片扫描设备。2017年4月，美国食品和药物管理局（FDA）批准了首个全玻片成像（WSI）系统的上市许可。2024 年期间，来自多个癌症中心的大规模研究显示，真实世界数据的诊断报告和全切片建模在开发经过验证的人工智能诊断算法方面具有潜力。这篇社论讨论了为什么人工智能和数字图像分析的最新进展和应用可能在未来的癌症诊断和预后中发挥重要作用。

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

Medical Science Monitor MEDICINE, RESEARCH & EXPERIMENTAL-

CiteScore

6.40

自引率

3.20%

发文量

514

审稿时长

3.0 months

期刊介绍： Medical Science Monitor (MSM) established in 1995 is an international, peer-reviewed scientific journal which publishes original articles in Clinical Medicine and related disciplines such as Epidemiology and Population Studies, Product Investigations, Development of Laboratory Techniques :: Diagnostics and Medical Technology which enable presentation of research or review works in overlapping areas of medicine and technology such us (but not limited to): medical diagnostics, medical imaging systems, computer simulation of health and disease processes, new medical devices, etc. Reviews and Special Reports - papers may be accepted on the basis that they provide a systematic, critical and up-to-date overview of literature pertaining to research or clinical topics. Meta-analyses are considered as reviews. A special attention will be paid to a teaching value of a review paper. Medical Science Monitor is internationally indexed in Thomson-Reuters Web of Science, Journals Citation Report (JCR), Science Citation Index Expanded (SCI), Index Medicus MEDLINE, PubMed, PMC, EMBASE/Excerpta Medica, Chemical Abstracts CAS and Index Copernicus.