7th International Conference on ICTCS 2022

Authors - Akhilesh Kumbhar, Vishal Pattanshetty, Ranjeet Ghatage
Abstract - Machine Learning (ML) is a subset of Artificial Intelligence (AI) that deals with developing intelligent systems that can learn and improve on their own without being particularly taught to do so. As we delve deeper into the vast ocean of AI, we notice the various applications for processing available data and generating output based on the use case. Artificial intelligence (AI) tools, which have become increasingly common in modern business and daily life, are also finding their way into healthcare. Artificial Intelligence in Healthcare Services has the potential to help healthcare providers navigate multiple regulatory cycles and consumer perspectives. Though AI and health care breakthroughs have a big impact on the health sector, the techniques they support can change radically. Few of the research papers suggest that AI can leverage its computational abilities to do tasks better than humans, but it’s going to take a long time to actually implement such systems. It is hoped that by incorporating Artificial Intelligence, it will be able to mimic human mental capacities and limitations. It is gaining a new perspective on constraint as access to healthcare, service information, and re-search methodologies advance at a rapid pace. Some of the major diseases that can be treated with AI approaches include cardiology, cancer, and neurology. This paper explores the relationship between Machine Learning, Deep Learning and Artificial Intelligence, Real World Data and its importance to AI/ML Healthcare, present challenges in the AI/ML Healthcare Industry and applications in the Healthcare Industry.