Abstract
Abstract: Artificial Intelligence (AI) has revolutionized disease detection and treatment susceptibility assessment in healthcare. This paper provides an in-depth analysis of AI applications in these domains, exploring its role in improving diagnostic accuracy, predicting treatment responses, and personalizing patient care. Leveraging machine learning, deep learning, and natural language processing, AI algorithms analyze diverse medical data sources to identify disease indicators and tailor treatment regimens. This paper reviews existing literature, presents methodologies employed in AI-driven disease detection and treatment susceptibility assessment, discusses key findings, and provides the latest statistics. By understanding AI's transformative potential, healthcare stakeholders can harness its capabilities to enhance patient outcomes and healthcare delivery.
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