Artificial Intelligence in Medicine: Opportunities and Challenges

Abstract

Currently, artificial intelligence (AI) is used in many fields of medicine such as cardiology, endocrinology, neurology, and particularly gastroenterology where AI increases the quality of images obtained from related imaging techniques. Also, medical diagnosis is greatly affected by AI algorithms and deep learning techniques. AI shows potential for not only monitoring and managing treatment plans but also promises accurate diagnosis and prediction of diseases. This paper aims to review the future opportunities and challenges of AI applications in medicine. The results show a bright future with multiple opportunities in medical diagnosis, radiology, and pathology fields with increasing accuracy, image quality, and decreasing radiation dose. Additionally, AI will facilitate medical research studies which is a great contribution to the medical world. Challenges and ethical limitations will be mostly related to the validity and reliability of data, bias, responsibility issues, risks and unpredictable consequences, and equitable application which need establishing clear guidelines and regulations. This paper suggests a more extended educational program for both healthcare professionals and patients to achieve the best result.

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