胃癌中的变革性人工智能:诊断技术的进步。

IF 7 2区 医学 Q1 BIOLOGY Computers in biology and medicine Pub Date : 2024-12-01 Epub Date: 2024-11-01 DOI:10.1016/j.compbiomed.2024.109261
Mobina Khosravi, Seyedeh Kimia Jasemi, Parsa Hayati, Hamid Akbari Javar, Saadat Izadi, Zhila Izadi
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引用次数: 0

摘要

胃癌是一项重大的全球性健康挑战,其发病率和死亡率均有所上升,这凸显了在诊断和治疗策略方面取得进展的必要性。本综述论文针对人工智能(AI)在胃癌治疗中的作用这一关键需求进行了全面综述。它深入分析了当前的人工智能应用,重点关注其对早期诊断、治疗规划和结果预测的贡献。该综述通过研究近期的研究和技术发展,找出了现有文献中的主要差距和局限性。它旨在阐明人工智能驱动方法的演变及其对提高诊断准确性、个性化治疗策略和改善患者预后的影响。论文强调了人工智能在克服胃癌管理相关挑战方面的变革潜力,并提出了进一步利用人工智能能力的未来研究方向。通过综述,本综述强调了将人工智能技术融入临床实践以彻底改变胃癌管理的重要性。
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Transformative artificial intelligence in gastric cancer: Advancements in diagnostic techniques.

Gastric cancer represents a significant global health challenge with elevated incidence and mortality rates, highlighting the need for advancements in diagnostic and therapeutic strategies. This review paper addresses the critical need for a thorough synthesis of the role of artificial intelligence (AI) in the management of gastric cancer. It provides an in-depth analysis of current AI applications, focusing on their contributions to early diagnosis, treatment planning, and outcome prediction. The review identifies key gaps and limitations in the existing literature by examining recent studies and technological developments. It aims to clarify the evolution of AI-driven methods and their impact on enhancing diagnostic accuracy, personalizing treatment strategies, and improving patient outcomes. The paper emphasizes the transformative potential of AI in overcoming the challenges associated with gastric cancer management and proposes future research directions to further harness AI's capabilities. Through this synthesis, the review underscores the importance of integrating AI technologies into clinical practice to revolutionize gastric cancer management.

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来源期刊
Computers in biology and medicine
Computers in biology and medicine 工程技术-工程:生物医学
CiteScore
11.70
自引率
10.40%
发文量
1086
审稿时长
74 days
期刊介绍: Computers in Biology and Medicine is an international forum for sharing groundbreaking advancements in the use of computers in bioscience and medicine. This journal serves as a medium for communicating essential research, instruction, ideas, and information regarding the rapidly evolving field of computer applications in these domains. By encouraging the exchange of knowledge, we aim to facilitate progress and innovation in the utilization of computers in biology and medicine.
期刊最新文献
An adaptive enhanced human memory algorithm for multi-level image segmentation for pathological lung cancer images. Integrating multimodal learning for improved vital health parameter estimation. Riemannian manifold-based geometric clustering of continuous glucose monitoring to improve personalized diabetes management. Transformative artificial intelligence in gastric cancer: Advancements in diagnostic techniques. Artificial intelligence and deep learning algorithms for epigenetic sequence analysis: A review for epigeneticists and AI experts.
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