ARTIFICIAL INTELLIGENCE IN HEALTHCARE LEGAL, ETHICAL AND REGULATORY CHALLENGES IN THE ERA OF DIGITAL MEDICINE

Healthcare providers are adjusting their methods of patient care, diagnosis, and treatment in response to the growing prevalence of artificial intelligence (AI). Machine learning, NLP, and predictive analytics are just a few examples of the cutting-edge technologies that have revolutionized healthcare by making it more accessible, accurate, and efficient. Using AI in conjunction with early illness identification, individualized treatment regimens, or robotic surgery presents substantial prospects to enhance patient outcomes while reducing healthcare expenditures. Additional regulatory, ethical, and legal hurdles arise with the introduction of AI into healthcare. Legislators and healthcare providers face numerous obstacles when dealing with patient permission, algorithmic bias, accountability for medical mistakes, cybersecurity vulnerabilities, and the confidentiality and privacy of personal data. The proper application of artificial intelligence (AI) in healthcare will be further complicated by the absence of thorough regulatory frameworks in most jurisdictions. This research document aims to examine the ethical and legal considerations surrounding the application of artificial intelligence in healthcare, as well as its potential effects on healthcare delivery. With a focus on safeguarding patient data and rights, this research will also investigate existing legislative frameworks, judicial viewpoints, and policy efforts controlling AI utilization in healthcare. The purpose of this research is to outline the potential problems and hazards of using AI in healthcare and to offer solutions that will lead to the responsible, secure, and equitable use of AI in healthcare.