AI in Healthcare: Applications in Diagnostics, Monitoring, and Intelligent Treatment Systems

Artificial intelligence (AI) has emerged as a transformative force in the healthcare sector, driving significant advancements in diagnosis, treatment, monitoring, and clinical decision-making. This study reviews and synthesizes current developments in AI applications across major healthcare domains, including the Internet of Medical Things (IoMT), nanotechnology, biosensing, diabetes management, cancer detection, and surgery. The integration of AI with IoMT supports real-time monitoring, predictive analytics, and efficient resource utilization, while nanotechnology-enabled sensors improve diagnostic sensitivity and miniaturization of medical devices. Machine learning and deep learning techniques facilitate the design of biomolecular sensing systems, enhance personalized medicine, and enable early detection of chronic diseases. AI-assisted tools in diabetes care provide highly accurate glucose monitoring and personalized recommendations, whereas AI algorithms in oncology improve screening, classification, and prognostic evaluation. Additionally, AI-driven robotics and decision-support systems are revolutionizing surgical accuracy, safety, and outcome prediction. Overall, this review highlights AI’s crucial role in shaping the future of healthcare and discusses emerging challenges and opportunities for further innovation.

کلیدواژه ها:

Artificial Intelligence ، Internet of Medical Things (IoMT) ، Nanotechnology ، Biosensing ، Machine Learning