Explainable Intelligent Optical Sensing for Disease Detection Using Nanorobots in the Internet of Things

Abstract

Nanotechnology integrated with the Internet of Things (IoT) technology creates new possibilities for healthcare mainly through its disease detection applications. Nanorobots represent emerging technology which uses precise diagnosing methods to detect diseases at their molecular level for quicker intervention through personalized treatment. Decision-making applications in clinical areas experience slow adoption due to the absence of transparent reasoning within decision processes. The research examines how explainable intelligent optical sensing functions in nanorobots to deliver healthcare providers results that are both transparent and interpretable. This system combines optical sensing with AI-based decision frameworks to deliver detailed and immediate health diagnostics which maintains expert-level video-based understanding for clinicians. This document analyses the nanorobot healthcare system's IoT-based integration of explainable AI-driven optical sensing through design explanations alongside challenge definitions and proposed future directions.