The Hospital-Based Smart Hematology Analyzer with Cancer Risk Alert is an advanced system designed to automate blood analysis while providing early cancer risk detection for organs such as the brain, lung, and skin. The system integrates a deep learning algorithm, InceptionV3, to analyse blood smear images and identify abnormal cell patterns indicative of potential malignancies. High-resolution images captured through an optical sensor are pre-processed and fed into the algorithm for feature extraction and classification. The hardware architecture includes a microcontroller interfaced with sensors and a display unit, interconnected through UDP communication to ensure fast, reliable, and real-time data transfer within the hospital network. The analyser automatically computes hematology parameters such as RBC, WBC, haemoglobin levels, and platelet count, while the AI module evaluates potential cancer risk based on morphological anomalies. Alerts and reports are generated for medical staff if any abnormal patterns are detected, facilitating prompt medical intervention. The working flow begins with blood sample collection, followed by automated slide preparation, image acquisition, and pre-processing. The processed images are analysed by the InceptionV3 model, which classifies the results and calculates risk levels. Data is transmitted via UDP to a central monitoring system for visualization, record keeping, and further evaluation by doctors. This system emphasizes automation, real-time analysis, and predictive diagnostics, aiming to reduce manual errors, accelerate clinical decision-making, and improve early cancer detection. It provides a cost-effective, intelligent, and scalable solution for hospital-based patient care.
R et al. (Thu,) studied this question.