REVOLUTIONIZING NEUROGENIC BLADDER CARE WITH AI-ENABLED BIOMARKER DISCOVERY AND PROGNOSTIC MODELING

Abstract

Neurogenic bladder (NB) is a prevalent condition affecting 75–80% of patients with spinal cord injuries, 40–45% of those with multiple sclerosis, and 15–20% of individuals with Parkinson’s disease, leading to severe bladder dysfunction and reduced quality of life. Accurate diagnosis and effective prognostic modeling are crucial due to the variability in disease presentation and progression. This paper introduces a novel Multi-Scale Feature Fusion and Prognostic Modeling (MSFF-PM) algorithm that utilizes 250 biomarkers from clinical, molecular, and imaging data to enhance diagnostic precision and risk prediction. The algorithm integrates Bi-LSTM for capturing temporal dependencies, ResNet-50 for spatial feature extraction, and a Cross Attention Mechanism to fuse multi-modal information. In a study involving 1,200 patients, the MSFF-PM algorithm achieved a classification accuracy of 96.4%, an early complication detection precision rate of 92.7%, and a reduction in false-positive rates by 18.5%. The model successfully identified 23 novel biomarkers closely associated with the severity and progression of neurogenic bladder dysfunction. Moreover, the prognostic module provided risk stratification with 94.2% reliability, offering actionable insights for personalized treatment. The MSFF-PM algorithm advances neurogenic bladder care by combining advanced deep learning techniques with multi-scale data fusion, enabling early detection of complications, personalized therapeutic planning, and improved clinical outcomes. The incorporation of a Cross Attention Mechanism enhances interpretability by highlighting critical biomarkers, facilitating better decision-making for healthcare providers. This model represents a significant step forward in integrating fundamental neuroscience with clinical practice, addressing the challenges of early diagnosis, precise prognostication, and individualized patient care in neurogenic bladder management.