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Abstract: Early disease identification may assist to reduce the number of fatalities. In recent years, some researchers have applied various machine learning-based methodologies to construct autonomous disease detection systems. The goal of the disease detection models is to integrate the domains of medicine and artificial intelligence (AI) so that people can see how effectively they can complement one another. We intend to carry out an extensive study on AI applications for the healthcare industry to better grasp the function of AI in the medical profession. We'll start by reviewing the highlights and justifications for employing AI in the healthcare sector. Then, we thoroughly discuss machine-learning-based integration methods for the healthcare industry. After discussing the technical issues with AI in the medical sector, we then demonstrate how machine learning might be useful. We also investigate how machine learning is affecting the medical industry. Also, we offer a number of noteworthy initiatives that highlight the value of machine learning in healthcare applications and services. Lastly, talk about some current problems with diagnosing diseases and recommend future research and development directions that will result in the application of machine learning in the healthcare industry.