The Future of Medicine AI and Machine Learning In Personalized Healthcare Decisions
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Abstract
This study examines how machine learning and artificial intelligence (AI) are changing the personalized healthcare landscape. Through the use of technologies like virtual assistants and decision-support systems, AI improves clinical decision-making. It also helps with diagnostic image processing and facilitates administrative duties like scheduling and medication administration. Outside of hospitals, AI-enabled wearables and remote monitoring devices provide real-time patient health tracking, while AI-driven drug discovery speeds up the development of new treatments. Problems with algorithmic bias, privacy, and data security are discussed, highlighting the necessity of integrating ethical AI. Personalized medicine is made possible by the combination of AI and machine learning, which analyzes genetic data, forecasts illness risks, and optimizes treatment regimens. Anticipating the future, artificial intelligence (AI) holds great potential to transform healthcare delivery, treatment optimization, and preventative care. However, this will require cooperative efforts to manage regulatory mazes and guarantee fair AI adoption in clinical settings.
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