AI Applications in Human Disease Prediction

Artificial intelligence (AI) has shown great promise in disease prediction across various domains in healthcare. By leveraging machine learning (ML) and deep learning (DL) algorithms, researchers and clinicians can gain valuable insights from large datasets, enabling early diagnosis, personalized treatment, and improved patient outcomes. AI is a rapidly evolving field that aims to develop intelligent systems capable of performing tasks that typically require human intelligence. AI can be broadly categorized into three types: narrow, general, and super. Each type differs in terms of its capabilities and poten‑ tial applications. Narrow AI, also known as weak AI or artificial narrow intelligence (ANI), is the most common form of AI currently in existence. Narrow AI is designed to perform specific, predefined tasks with high accuracy and efficiency. It excels at solving well‑defined problems within a particular domain, such as image recognition, natural language processing, or playing games like chess. Numerous examples of narrow AI can be found in everyday life, including virtual assistants like Siri and Alexa, recom‑ mendation systems on streaming platforms, and facial recognition software used for security purposes (Faggella, 2019).