Journey of artificial intelligence (ai) in healthcare: An analysis

Artificial Intelligence (AI) is revolutionising healthcare by enhancing patient care, diagnosis, treatment, and management. This paper explores the diverse applications of AI in health systems, highlighting its potential to improve efficiency, accuracy, and patient outcomes while addressing the associated challenges. AI technologies such as machine learning, natural language processing, and computer vision enable the analysis of vast healthcare data for predictive analytics, personalised medicine, and disease prevention. These tools support clinicians in diagnosing and predicting diseases swiftly and accurately.Applications like virtual health assistants and predictive modelling are fostering more patient-centred care across various healthcare settings. Beyond clinical care, AI is accelerating medical research and drug development by analysing genomic data, identifying biomarkers, and modelling drug interactions, including repurposing existing drugs to address emerging health threats. Despite its promise, AI implementation faces ethical, legal, and data privacy challenges. Ensuring reliability and safety demands ongoing interdisciplinary collaboration, transparency, and rigorous evaluation of AI systems. Addressing these barriers is critical to harnessing AI's full potential and integrating it responsibly into healthcare.