转化式学习
领域
精密医学
医疗保健
个性化医疗
胃肠道癌
人工智能
医学
知识管理
癌症
工程伦理学
计算机科学
数据科学
心理学
生物信息学
工程类
政治学
结直肠癌
病理
内科学
教育学
法学
生物
作者
Sreetama Mukherjee,Sunita Vagha,Pravin Gadkari
出处
期刊:Cureus
[Cureus, Inc.]
日期:2024-02-19
被引量:1
摘要
This comprehensive review explores the transformative role of artificial intelligence (AI) in the realm of gastrointestinal cancer. Gastrointestinal cancers present unique challenges, necessitating precise diagnostic tools and personalized treatment strategies. Leveraging AI, particularly machine learning and deep learning algorithms, has demonstrated remarkable potential in revolutionizing early detection, treatment planning, prognosis, and drug development. The analysis of current research and technological advancements underscores the capacity of AI to unravel intricate patterns within extensive datasets, providing actionable insights that enhance diagnostic accuracy and treatment efficacy. The transformative impact of AI on the landscape of gastrointestinal cancer is emphasized, signaling a paradigm shift towards more precise and targeted cancer care. The conclusion emphasizes the need for sustained research efforts and collaborative initiatives among AI researchers, healthcare professionals, and policymakers. By fostering interdisciplinary collaboration, we can navigate the evolving field of gastrointestinal cancer care, embracing the potential of AI to improve patient outcomes and contribute to a more effective and personalized approach to cancer management.
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