AI-Driven Precision Healthcare: Recent Advances in Intelligent Diagnosis, Predictive Analytics, and Personalized Treatment

Abstract

Artificial Intelligence (AI) has emerged as a powerful force in modern healthcare, revolutionizing the way that disease diagnosis, planning of treatment and personalised patient care are carried out. This review delves into the latest developments of AI-powered healthcare systems, particularly highlighting the role of machine learning, deep learning, computer vision, and predictive analytics in clinical scenarios. The research will focus on the role of AI technologies in improving the accuracy of diagnoses, aid clinical decision-making, and optimize treatment strategies for individual patients in different medical fields, such as chronic diseases, cancer diagnostics, radiology, and elderly patient care. A thorough literature review approach, which involves researching recent academic papers from 2023 to 2026 on AI in healthcare innovations, was used. The results show that AI-powered systems have the potential to enhance early disease detection, minimize diagnostic mistakes, speed up medical imaging analysis, and aid in personalized treatment with data-driven suggestions. AI-driven predictive models also play a role in preventive care, effective patient monitoring, and making health care more accessible. Moreover, innovations like robotic-assisted surgery, intelligent clinical decision support systems, and AI-powered wearable devices showcase potential for improved patient care management. While data privacy, ethical considerations, interpretability, and implementation costs pose challenges, AI is still transforming healthcare delivery. The study highlights the potential for AI to transform healthcare systems by boosting clinical efficiency, optimizing treatment outcomes, and contributing to the future evolution of precision medicine and intelligent healthcare services.