Artificial Intelligence in Healthcare: Improving Diagnosis and Treatment
Abstract
Artificial Intelligence (AI) is transforming healthcare by improving the accuracy and efficiency of diagnosis and treatment. This paper explores the significance of AI in healthcare, emphasizing its role in medical image analysis, predictive analytics, and personalized medicine. It delves into various aspects, including machine learning algorithms, electronic health records (EHRs), and telemedicine applications. The discussion includes the benefits of AI in healthcare, such as early disease detection, reduced medical errors, and improved patient outcomes. Moreover, the paper addresses the challenges and considerations in implementing AI in healthcare, including data privacy, regulatory compliance, and ethical concerns. Through a review of healthcare AI applications and research studies, the study highlights the positive outcomes associated with the adoption of AI in healthcare, including enhanced patient care and healthcare system efficiency.
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