THE POTENTIAL OF AI IN HEALTHCARE

Abstract

The rise of artificial intelligence in the past decade has been on an exponential slope, with recent advancements breaking through what was seen as a roadblock. With graphs leading up to even more advancements, we need to ponder the possibilities of it affecting different aspects of studies, especially in the field of medicine. The previous studies did so in a fragmented way, under a more specialised eye. This study aims to compile some of the earlier studies and give an overview of the potential of AI in healthcare. This research delves into the transformative impact of artificial intelligence (AI) on healthcare delivery. AI enhances diagnostic accuracy through rapid analysis of medical images but faces ethical and data challenges. It empowers personalised medicine, improves patient outcomes, and reduces side effects, especially in resource-constrained settings. Predictive analytics enables early interventions and minimises hospital readmissions, yet algorithmic biases need addressing. AI expedites medical research by extracting insights from vast datasets. Despite its potential, AI integration requires addressing patient acceptance, algorithmic bias, regulatory compliance, and data protection while emphasising ethical considerations for responsible implementation in healthcare.

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