The dual impact of AI and renewable energy in enhancing medicine for better diagnostics, drug discovery, and public health

Abstract

This review paper discusses how Artificial Intelligence (AI) and renewable energy are shaping the field of medicine. It focuses on improving accuracy speeding up drug discovery and enhancing health efforts. AI technologies are changing diagnostics by identifying patterns that may be missed by human doctors leading to better clinical decisions and outcomes, for patients. At the time incorporating energy into healthcare facilities is promoting sustainability cutting costs and ensuring a reliable power supply essential for uninterrupted medical operations. The paper also explores how machine learning models are used in drug discovery to streamline target identification improve trials and reduce development timelines and expenses. Additionally, it looks at how AI can enhance health by using analytics for early disease detection and efficient resource allocation while supporting these technologies with renewable energy solutions. By combining the advancements in AI with the benefits of energy this approach presents an sustainable perspective, on medicine that emphasizes innovation and environmental responsibility. It stresses the importance of research and ethical considerations to harness its potential.