AI IN HEALTHCARE: TRANSFORMING MEDICAL DIAGNOSIS AND TREATMENT
Keywords:
Artificial Intelligence In Healthcare, Medical Diagnosis, Predictive Analytics, Personalized Medicine, Healthcare EthicsAbstract
This article explores the transformative impact of artificial intelligence in healthcare, examining its applications across medical diagnosis, treatment optimization, disease prediction, and patient care. Investigates the evolution of AI technologies in healthcare settings, from deep learning algorithms in medical imaging to personalized treatment protocols and predictive analytics. It addresses the integration of edge computing, federated learning, and natural language processing while examining critical ethical considerations including data privacy, algorithm transparency, and bias mitigation. This article demonstrates significant improvements in diagnostic accuracy, treatment efficacy, and patient outcomes across various medical domains, highlighting AI's potential to revolutionize healthcare delivery while emphasizing the importance of ethical implementation and ongoing technological advancement.
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