Artificial Intelligence in Healthcare Transforming Diagnostics and Care Delivery

Abstract

Artificial intelligence (AI) is revolutionizing healthcare by changing the way that diagnosis and treatment are provided. The influence of AI on enhancing patient outcomes, treatment efficacy, and diagnostic accuracy is examined in this paper. It explores the many applications of AI in healthcare and its potential consequences by analyzing the literature that is already available. Artificial Intelligence (AI) facilitates precision medicine, improves clinical decision-making, helps interpret medical pictures, and simplifies the administration of Electronic Health Records (EHRs). Privacy, biases, and responsible AI use are still ethical issues, though. In order to shape AI's position in healthcare, it is essential to comprehend both its potential and its challenges.

The emergence of AI in healthcare represents a paradigm change, enhancing human capacities through the use of data-driven insights. Large-scale dataset processing speeds up diagnosis and supports individualized treatment regimens. Clinical Decision Support Systems (CDS) powered by artificial intelligence (AI) are a great help, offering suggestions in real time and supporting therapy improvement. Moreover, AI's integration with EHRs improves data interpretation and guarantees efficient processes, freeing up more time for medical staff to devote to patient care. Even though AI has made great strides, ethical frameworks and legal requirements are essential to reducing the risks of algorithmic biases and data privacy violations and promoting the appropriate use of AI in healthcare.