From Data to Decisions: AI-Driven Machine Learning in Modern Healthcare

Abstract

Data-driven health care is being revolutionized by artificial intelligence (AI) and machine learning (ML). To inform clinical practice, AI uses electronic medical records, imaging and wearable’s to improve prediction, diagnosis, treatment and disease monitoring. ML (supervised, unsupervised, reinforcement and deep learning) enhances diagnosis, treatment and workflows. However, AI and ML in health care face issues such as privacy, bias, explain ability, regulatory and clinical practice. Explain ability, multimodal data integration and human-in-the-loop approaches can overcome these challenges to achieve safe, explainable and efficient AI-based medical care. Predictive, diagnostic and personalized medicine AI can transform care, outcomes and efficiency. Further research and ethical deployment will be crucial to unlocking the full potential of AI and ML in health care.