Revolutionizing Healthcare with Artificial Intelligence – A Machine Learning-Driven Approach to Precision Medicine, Predictive Analytics, and Automated Clinical Decision Support
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Abstract
The healthcare industry has experienced substantive change because artificial intelligence (AI) technology enhances diagnosis procedures and treatment plans while improving patient outcomes. The research examines AI's role in precision medicine as well as other healthcare functionalities before explaining the benefits and challenges. AI technology brings substantial advancement to early disease detection and drug development and medical imaging but privacy risks and algorithm inaccuracies as well as regulatory matters remain ongoing concerns. The study examines the identified challenges while offering solutions by improving data protection methods and creating bias prevention techniques with updated government criteria. Before focusing on AI system improvements in healthcare delivery and patient outreach this study demonstrates AI healthcare model performance versus standard medical intervention methods. Eventually AI technology will introduce robotic surgeries and virtual healthcare tools along with improved machine intelligence capabilities according to the research findings. Multiple regulations along with ethical guidelines require further development to enable effective implementation of AI technologies. Some lasting and ethical healthcare advances will result from implementing artificial intelligence alongside healthcare professionals within future development strategies.
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