Authors: Keshav Sharma
Abstract: Artificial Intelligence (AI) has become a groundbreaking phenomenon in the modern healthcare system as it allows conducting sophisticated data analysis, predictive modeling, and intelligent decision support. The world is gradually moving towards the adoption of AI technologies in all healthcare facilities to improve the precision of diagnosis, the ease of treatment regimen, the efficiency of work, and the price of healthcare. The methods of diagnosis and treatment of diseases in the healthcare sector are changing with AI-based systems, beginning with the interpretation of medical images up to personalized medicine and robotic surgery. Nevertheless, even though it may have some advantages, the introduction of AI into the health care industry also creates strong doubts regarding the privacy of its data, algorithm bias, transparency, and ethical accountability. This research paper will discuss the use of artificial intelligence in the modern healthcare system through the analysis of its use, advantages, drawbacks, and ethical concerns. The paper discusses the role of machine learning algorithms and deep learning models in detecting disease, patient monitoring, and management in healthcare. Additionally, the paper also critically assesses the issues like data reliability, non-interpretability of AI models, and regulatory issues. The results have underscored that although AI can achieve great success in enhancing healthcare delivery, its use should be supported by effective governance policies and ethical considerations to achieve safe and fair use. The study ends with the recommendation that healthcare authorities, computer scientists, and policy makers need to engage in interdisciplinary collaboration to optimize the advantages of AI and reduce the risks, which may arise.
