Abstract

Artificial intelligence (AI) refers to systems or machines that imitate human cognitive functions and is able to learn from previous data and refine its performance as it goes on doing tasks. Backgrounds of informatics and computer science have brought about noticeable progress in artificial intelligence (AI) making it an essential part of today's healthcare practice. These days, artificial intelligence (AI) is applied not only to general medicine to analyse reports, but also to oncology, radiology, cardiological diseases and ophthalmology. Artificial Intelligence using Machine Learning has supported the developed countries like the United States, China, and European nations like Germany and Italy in the medical industry. India, a developing nation that is rising decisively, is going through a major digital revolution with many startups. IBM's Watson a healthcare chatbot helps surgeons with its extensive medical expertise and data analysis skills; it is installed in hospitals in India. The purpose of this study is to examine how developing nations with an extensive array of AI-induced medical treatments can keep on offering excellent healthcare even in the absence of a set regulatory agency to monitor the use of AI. In order to emphasize the medicolegal challenge(privacy) faced by AI in healthcare, this article compares the regulatory frameworks of AI in the US, India, and Myanmar. It also explores the gaps in regulation that still exist. This study employs a normative juridical research method with an analytical approach. The conclusion we have reached through this study is that the countries are trying to incorporate AI within their existing legislation to protect patient data privacy which is still found to be insufficient.

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