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کلیدواژهها
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Artificial Intelligence, Healthcare, Machine Learning, Diagnostics, Personalized Medicine, Clinical Decision Support, Data Privacy, Algorithmic Bias, Ethical AI, Health Technology
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چکیده
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Artificial intelligence (AI) has emerged as a transformative force in healthcare, offering innovative solutions for diagnostics, treatment planning, and patient care management. This paper explores the integration of AI technologies, such as machine learning and natural language processing, in enhancing clinical decision-making and operational efficiency. By analyzing recent advancements, we highlight AI's role in improving diagnostic accuracy, personalizing treatment plans, and predicting patient outcomes. The study also addresses challenges, including ethical considerations, data privacy, and algorithmic bias, while proposing strategies for responsible AI implementation. Through a comprehensive review of current applications and future prospects, this work underscores AI's potential to revolutionize healthcare delivery while emphasizing the need for robust regulatory frameworks to ensure equitable and safe adoption.
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