Artificial Intelligence in Healthcare: Leveraging Big Data Analytics and Machine Learning

Abstract

Artificial Intelligence (AI) in healthcare represents a combination of machine learning and big data analytics that enhance the experience of diagnosing, treating, and taking care of a patient. It facilitates early disease diagnosis, personalized medicine, medical imaging and analysis, drug discovery and remote monitoring. Electronic health records, wearables, and medical systems provide big data to support predictive analytics and decision-making, which are driven by AI. This incorporation improves accuracy, efficiency and cost-effectiveness in healthcare provision. Nonetheless, data privacy, bias, lack of transparency and regulatory issues are some of the challenges that limit its use. Nevertheless, regardless of these constraints, AI continues to change the healthcare systems by providing innovative, patient-focused, and data-driven solutions to achieve better health outcomes in the world and further advancements in the medical sphere.