The Advancement of Machine Learning and Artificial Intelligence Based Health Informatics
Keywords:
Artificial Intelligence, Machine Learning, Health Informatics, Deep Learning, Predictive Analytics, Predictive AnalyticsClinical Decision SupportAbstract
The integration of Machine Learning (ML) and Artificial Intelligence (AI) into health informatics has revolutionized modern healthcare by enabling data-driven decision-making, enhancing diagnostic accuracy, and improving patient outcomes. This research paper explores the recent advancements in AI and ML technologies applied to electronic health records (EHR), clinical decision support systems (CDSS), medical imaging, and predictive analytics. It highlights how deep learning architectures, natural language processing (NLP), and federated learning are shaping personalized medicine and real-time health monitoring. Despite remarkable progress, the field faces challenges related to data privacy, model interpretability, and clinical validation. This paper synthesizes recent literature to provide a comprehensive overview of current developments, emerging trends, and ethical considerations, offering a roadmap for future AI-empowered healthcare systems..
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