A Quantum-Enhanced Deep Learning Framework For Strategic Healthcare Quality Management And Intelligent Medical Image Analysis

Abstract

The health care systems using artificial intelligence have greatly enhanced the accuracy of diagnosis, interpretation of medical images as well as intelligent clinical decision-making. This paper suggests a quantum-enhanced deep learning model to strategic healthcare quality management and smart medical image analysis. The framework proposed will combine quantum-inspired optimization, convolutional neural networks, and attention-guided feature learning to enhance the performance of disease classification and assessing the quality of healthcare. The architecture was geared towards automated diagnosis, intelligent prioritization of patients and optimization of clinical workflows with the help of heterogeneous medical imaging datasets and AI. The suggested approach will integrate image preprocessing, quantum-enriched optimisation of features, deep convolutional feature extraction, and healthcare quality assessment into a single intelligent system. Benchmark datasets of chest X-rays, brain MRI and ultrasound images were used to evaluate the experiment. The images were normalized, augmented, and split into training, video validation and testing sets. Accuracy, precision, recall, F1-score, sensitivity, specificity and ROC-AUC analysis were considered as performance evaluation metrics. The robustness and the generalization capability were tested by statistical validation based on 10-fold cross-validation. The experimental findings have shown that the given framework has 97.2 percent classification accuracy, 96.8 percent precision, 96.5 percent recall score, 96.6 percent F1-score and 98.1 percent ROC-AUC performance, being more effective than the traditional CNN, ResNet50, and DenseNet121 networks. Statistical analysis showed that there is significant improvement at p = 0.05. The suggested system can be used to add intelligent healthcare quality management, automated disease screening, clinical decision support, and next-generation AI-assisted healthcare systems.