Harnessing Artificial Intelligence for Global Health Advancement  

作　　者：Guntas Dhanjal Guntas Dhanjal(Rutgers Preparatory School, Somerset, New Jersey, USA)

机构地区：[1]Rutgers Preparatory School, Somerset, New Jersey, USA

出　　处：《Journal of Data Analysis and Information Processing》2025年第1期66-78,共13页数据分析和信息处理(英文)

摘　　要：Artificial intelligence (AI) is transforming healthcare, offering the potential to optimize clinical decision-making, improve patient outcomes, and enhance care accessibility. AI-driven tools can analyze vast medical data, enabling early disease detection, accurate diagnoses, and personalized treatment. By addressing challenges such as aging populations, chronic diseases, and workforce shortages, AI can revolutionize global healthcare delivery, particularly in underserved regions. However, successful AI integration requires overcoming barriers like data quality, regulatory frameworks, and ethical considerations. Despite these challenges, AI offers a promising path to more efficient, equitable, and personalized healthcare worldwide.Artificial intelligence (AI) is transforming healthcare, offering the potential to optimize clinical decision-making, improve patient outcomes, and enhance care accessibility. AI-driven tools can analyze vast medical data, enabling early disease detection, accurate diagnoses, and personalized treatment. By addressing challenges such as aging populations, chronic diseases, and workforce shortages, AI can revolutionize global healthcare delivery, particularly in underserved regions. However, successful AI integration requires overcoming barriers like data quality, regulatory frameworks, and ethical considerations. Despite these challenges, AI offers a promising path to more efficient, equitable, and personalized healthcare worldwide.

关 键 词：Artificial Intelligence Global Health ETHICS 

分 类 号：R73[医药卫生—肿瘤]