From algorithm to applications: Artificial intelligence – A future prospective in medicine

Background Artificial intelligence (AI) is a boon to the human race that offers transformative potential in the medical care system, revolutionizing human well-being. Over the past five decades, AI has evolved significantly in deep learning and machine learning (ML). AI subfields work together to provide intelligence for various applications. ML is a self-learning system that can improve its performance through training experiences. Utilizing artificial neural networks mimics human brain functions, while computer vision involves computers extracting information from images or videos. The application of AI is deployed across diverse medical fields, including cardiology, dermatology, ophthalmology, and oncology, enhancing diagnostic procedures and treatment outcomes. Objective This review aims to explore current trends of AI in healthcare, evaluate its impact across different medical fields, and identify future prospects for AI-driven innovations in personalized medicine and beyond. Method A comprehensive literature analysis was undertaken using prominent databases such as “PubMed,” “Scopus,” and “Google Scholar.” Results The review found that AI has significantly impacted multiple areas of healthcare. In diagnostics, AI applications have improved accuracy and efficiency, particularly in fields such as cardiology and oncology. Overall, while AI holds promise for revolutionizing healthcare, its success will depend on addressing the challenges and continuing to advance both technology and implementation practices.