Authors - Shailesh Gahane, Payal Khode, Arya Kapse, Deepak Sharma, Pankajkumar Anawade Abstract - The global health care is on the threshold of a revolutionary transformation, and the artificial intelligence technology stands at the forefront of this change. This research paper deals with the complex process involved in conceptualizing, designing, developing, and enforcing an AI-pushed health-care system. With the strength of machine learning and deep learning technologies, it can analyze vast ranges of healthcare data, which incorporates digital fitness records, clinical imaging, among others. It begins with reviewing multidimensional literature pertinent to the research study. Through this research, a critical part entails a pilot observe designed in a very deliberate manner in order to conservatively test the effectiveness and reliability of AI algorithms in various healthcare fields. Based on this research, it is predicted that several advantages are bound to be realized among them; more accurate diagnosis, individually tailored treatment plans, optimized effective care resources deployment, and lower healthcare expenses. By making known my findings and insights, I hope to provide helpful guidance and recommendations for health care professionals, policymakers, and developers of technology, which would eventually enrich or enhance the discourse regarding AI integration in health care.
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