AI Acceptability in Indian Healthcare: Exploring Disease Detection and Diagnosis

Abstract

In the healthcare sector, traditional practices have long relied on the interaction between healthcare professionals and patients, often operating with limited access to comprehensive data. This inherent limitation impedes the efficient utilization of available data and contributes to prolonged and arduous healthcare processes, resulting in suboptimal patient care. Furthermore, the fragmentation of medical records across multiple healthcare providers complicates patient management and decision-making. In response to these challenges, the integration of artificial intelligence (AI) techniques in healthcare has gained traction. This paper presents an overview of AI algorithms employed in disease detection and diagnosis across various medical domains, accompanied by a comprehensive review of their applications. By examining these advancements, readers and researchers gain insights into the pivotal role of AI in enhancing disease detection and medical diagnosis. Additionally, this paper underscores the importance of selecting appropriate research methodologies to foster further advancements in this evolving field.

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