The integration of artificial intelligence (AI) and nanosensors represents a significant advancement in sensor technology, offering precision and adaptability that could revolutionize various industries. Nanosensors have shown impressive results in healthcare, with AI providing a new level of sophistication that can overcome limitations and redefine sensor applications. High-performance AI models for cloud computing have promising tools for improving photonic design and sensor performance. This chapter discusses the use of AI-enhanced nanosensors for disease diagnosis, emphasizing the need for careful interpretation of large amounts of data. AI-enhanced sensors can extract complex context-related relationships and trends from data streams, making context-related decisions in real time. This capability is crucial in disease diagnosis, especially when prompt responses are needed. AI-enhanced nanosensors can accurately identify and analyze biomarkers at the nanoscale, aiding in the early detection of disease and enabling proactive medical interventions. However, challenges such as technical limitations, communication protocols, and security concerns still need to be solved to fully realize the transformative potential of this partnership. AI-powered nanosensors are poised to revolutionize complex problems and bring in a new era of efficiency, creativity, and precision in a variety of domains.