Artificial Intelligence (AI) refers to the development of computer systems that can perform tasks that typically require human intelligence, like learning, problem-solving, and decision-making. These systems use algorithms and data to think, learn, and act like humans.
Data is the foundation of AI, fueling its models to learn, make decisions, and improve performance. The quality and quantity of data directly impact AI's accuracy and effectiveness.
The Turing Test evaluates a machine's ability to mimic human-like intelligence, determining if it can convincingly think and converse like a human.
AI contributes to healthcare by improving diagnosis accuracy, streamlining clinical workflows, and personalizing patient care. It analyzes medical images, identifies high-risk patients, and helps develop tailored treatment plans. AI also enhances patient engagement, optimizes resource allocation, and accelerates medical research, ultimately leading to better health outcomes.
AI will transform the job market, automating some roles while creating new ones and changing existing jobs to work alongside AI. While some tasks may be replaced, human skills like creativity, empathy, and problem-solving will remain valuable.
