Artificial Intelligence in Healthcare: Transforming Diagnosis, Treatment, and Patient Care

Abstract

The integration of artificial intelligence (AI) in healthcare systems is revolutionising diagnostic and treatment processes, and enabling personalised patient care. By combining machine learning, natural language processing, and predictive analytics, AI systems are able to process and interpret vast amounts of medical data more efficiently and accurately than conventional approaches. In diagnosis, AI-powered imaging and diagnostic tools aid in early disease detection and minimise diagnostic errors. In therapeutic decision-making, AI facilitates personalised treatment plans by analysing patient data and suggesting treatment strategies. Additionally, AI-driven automation enhances administrative efficiency, freeing health professionals to engage more with patients and provide higher quality care. However, there are hurdles in the areas of privacy, ethics, bias and adoption in the current healthcare ecosystem. This paper assesses the disruptive potential of artificial intelligence in diagnosis, treatment and patient care, but also the institutional, technical and ethical challenges associated with the use of AI in modern health care.