Artificial Intelligence in Healthcare: Applications of Big Data and Machine Learning
Keywords:
Artificial Intelligence, Machine Learning, Big Data, HealthcareAbstract
Using big data and machine learning (ML) to improve diagnosis, treatment, and general patient care alters artificial intelligence (AI) entirely in healthcare. Fast expansion of medical data from wearable technology, imaging systems, and electronic health records has produced a lot of unneeded knowledge that artificial intelligence may gradually investigate and grasp.
Despite several potential advantages of artificial intelligence in healthcare, substantial problems must be addressed. Significant barriers to the widespread implementation of artificial intelligence technologies include safeguarding data privacy, addressing inherent biases in machine learning algorithms, and navigating intricate regulatory frameworks.
Integrating AI into healthcare systems is expected to enhance efficiency, reduce costs, and provide individualized care, hence improving patient outcomes. The healthcare business is evolving, and the convergence of AI, big data, and machine learning will significantly influence the future of medical practice and patient care.
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