From Algorithms to Outcomes: The Transformative Role of AI in Modern Medicine

Abstract

Artificial intelligence (AI) is rapidly transforming the landscape of modern medicine, and machine learning is revolutionizing disease detection and treatment on all fronts. Smooth AI systems will imminently advise clinical practice, from algorithms that scan medical images to their peers for predictive analytics within precision medicine. In this review article we talk about how much decision-making systems (Machine Learning, Deep learning and natural language processing) is revolutionizing not only the clinician but also increasing quality of patient care up to diagnostic accuracy. It shows examples of radiology, oncology and genomics use-cases where AI surpasses humans, in terms of both the speed and accuracy. The author also addresses the position of AI with respect to EHRs, telemedicine & robot-assisted surgery in terms of improving efficiency and access. But there are still issues concerning data quality, algorithmic bias, interpretability and ethical oversight over the various aspects. Solving that trio – safe regulation, transparency and humanity in cooperation with AI is the lifeblood of trusting where medicine discovery is going. With the paper, we argue that AI-evolution from mere-nerd fascination to clinically validated performance is nothing short of a revolutionary move towards smart and patient-centric medicine, being able to ensure safe (precision), efficient (personalized) care.