Fundamentals of artificial intelligence

Abstract

Artificial Intelligence (AI) is revolutionizing various industries, with healthcare being one of the most impacted sectors. This article explores the fundamentals of AI, with a specific focus on machine learning, deep learning, and generative AI. Machine learning, a subset of AI, enables systems to identify patterns in large data sets, improving over time without being explicitly programmed. Deep learning, a more advanced subfield, uses multi-layered neural networks to process complex information. The advent of generative AI, such as GPT and GANs, has expanded the potential of AI to create new content autonomously, transforming areas like drug discovery and personalized medicine. The article also addresses the ethical considerations surrounding the use of AI, particularly concerning data privacy, algorithmic bias, and equitable access to AI-driven technologies. These considerations are essential for ensuring the responsible development and implementation of AI in healthcare.