The combination of machine learning (ML) and blockchain technology has great potential, especially in the healthcare field. Machine learning is effective in identifying patterns and making decisions, but it relies on large, trusted data to ensure accuracy. The decentralized nature of blockchain encourages secure data sharing, while consensus ensures that shares data is legal and protected. Integrating these technologies makes the learning model very effective because trusting the blockchain improves data integrity and privacy. This method can lead to greater confidence and clarity, especially in the medical field where the security of important information and advanced analytical tools are required. This article shows how the integration of machine learning and blockchain can improve healthcare by providing better data management, security, and accurate decision-making.