Ahuja Abhimanyu S
Charles E. Schmidt College of Medicine, Florida Atlantic University, Boca Raton, FL, United States of America.
PeerJ. 2019 Oct 4;7:e7702. doi: 10.7717/peerj.7702. eCollection 2019.
The practice of medicine is changing with the development of new Artificial Intelligence (AI) methods of machine learning. Coupled with rapid improvements in computer processing, these AI-based systems are already improving the accuracy and efficiency of diagnosis and treatment across various specializations. The increasing focus of AI in radiology has led to some experts suggesting that someday AI may even replace radiologists. These suggestions raise the question of whether AI-based systems will eventually replace physicians in some specializations or will augment the role of physicians without actually replacing them. To assess the impact on physicians this research seeks to better understand this technology and how it is transforming medicine. To that end this paper researches the role of AI-based systems in performing medical work in specializations including radiology, pathology, ophthalmology, and cardiology. It concludes that AI-based systems will augment physicians and are unlikely to replace the traditional physician-patient relationship.
随着新的人工智能(AI)机器学习方法的发展,医学实践正在发生变化。再加上计算机处理能力的迅速提高,这些基于AI的系统已经在提高各个专业诊断和治疗的准确性和效率。AI在放射学领域日益受到关注,这使得一些专家认为,有朝一日AI甚至可能取代放射科医生。这些观点引发了一个问题,即基于AI的系统最终是否会在某些专业中取代医生,还是会增强医生的作用而不实际取代他们。为了评估对医生的影响,这项研究旨在更好地理解这项技术以及它如何改变医学。为此,本文研究了基于AI的系统在放射学、病理学、眼科和心脏病学等专业的医疗工作中所起的作用。研究得出的结论是,基于AI的系统将增强医生的能力,并且不太可能取代传统的医患关系。