生成式人工智能在医疗保健领域的兴起

M. Kuzlu, Zhenxin Xiao, S. Sarp, Ferhat Ozgur Catak, Necip Gurler, Ozgur Guler
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摘要

生成式人工智能(GAI)正在改变包括金融、教育、营销和医疗保健在内的各个领域。特别是在医疗保健领域,GAI具有彻底改变各个方面的潜力,例如医学成像、药物开发、患者护理和治疗计划。从这些进步中受益的主要利益相关者包括医院、诊所、制药公司、医疗设备制造商和研究机构。然而,在医疗保健中实施GAI会带来一些挑战,例如确保数据隐私和安全、解决道德问题、保持质量和准确性、遵守法规遵从性以及与现有系统集成。本文研究了GAI在医疗保健中的现状,讨论了其潜在的好处和挑战,并强调了必须解决的未来方向,以充分利用GAI在改善患者结果和医疗保健系统中的力量。
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The Rise of Generative Artificial Intelligence in Healthcare
Generative Artificial Intelligence (GAI) is transforming various fields, including finance, education, marketing, and healthcare. Especially in healthcare, GAI has the potential to revolutionize various aspects, such as medical imaging, drug development, patient care, and treatment planning. Key stakeholders who stand to benefit from these advancements include hospitals, clinics, pharmaceutical companies, medical device manufacturers, and research institutions. However, the implementation of GAI in healthcare presents several challenges, such as ensuring data privacy and security, addressing ethical considerations, maintaining quality and accuracy, adhering to regulatory compliance, and integrating with existing systems. This paper examines the current state of GAI in healthcare, discusses its potential benefits and challenges, and highlights future directions that must be addressed to fully harness the power of GAI in improving patient outcomes and healthcare systems.
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