This article explores numerous dimensions of blockchain and artificial intelligence (AI) in healthcare engineering. The significance of machine learning in comprehending data patterns, doing analysis, and making informed judgments has been demonstrated across diverse industries. To make accurate conclusions, machine Learning necessitates enough data. The importance of data sharing and the dependability of data cannot be overstated in machine learning since both factors play a critical role in enhancing the accuracy of machine learning models. The decentralized database within the context of blockchain technology places significant emphasis on the data exchange. The prevailing agreement within the blockchain technology ensures the authenticity and security of data. The fusion of these two technologies can provide accurate results in machine learning, while guaranteeing the security and reliability provided by blockchain technology. Using blockchain with artificial intelligence, experts of healthcare management can get ingress for exhibiting the medical information about the patient. Mainly, AI implementation on blockchain can provide a remarkable algorithm to give a final optimistic conclusion in healthcare management. Through this current advancement of technologies, the healthcare system will get improvised care of patient efficiency at a diminished price. Blockchain with AI enhances capacity to store more secure information cryptographically and segregates data history for sharing. This study aims to provide a solid foundational understanding of these domains and thoroughly explore the potential benefits, challenges of data security, privacy issues, resource restraint, holding ability, data repository, and short fall of standards, compatibility, regulations, and future research directions in the finest approach.