DEMENTIA CARE APP AI POWERED SUPPORT AND EARLY DETECTION

The Dementia app leverages advanced image processing and deep learning, particularly ResNet-101, to predict dementia progression through brain MRI scans. Dementia, a neurodegenerative disorder causing cognitive decline, requires early detection for effective management. The app extracts structural features from MRI scans, analyzing them to assess disease severity and monitor changes over time. By identifying patterns in brain scans, the app assigns a dementia risk score, aiding healthcare professionals in tracking symptom escalation. This predictive capability supports informed care decisions and intervention planning. Additionally, real-time assistance tools and long-term care planning enhance daily caregiving, reducing caregiver burden. Integrating image processing with predictive analytics, the app offers a data-driven, personalized approach to dementia care. It empowers healthcare providers and caregivers with actionable insights, enabling proactive management to potentially slow disease progression and improve patients’ quality of life.

这款痴呆症辅助应用依托先进图像处理技术与深度学习技术（尤其是ResNet-101架构），通过脑部核磁共振成像（Magnetic Resonance Imaging，MRI）扫描预测痴呆症病情进展。痴呆症是一类会导致认知功能衰退的神经退行性疾病，及早检出是实现有效临床管理的关键。该应用可从MRI扫描影像中提取脑部结构特征，通过分析这些特征评估疾病严重程度并监测病情随时间的动态变化。通过识别脑部扫描影像中的病理特征模式，该应用可生成痴呆症风险评分，辅助医疗专业人员追踪症状恶化态势。这一预测能力可为临床护理决策与干预方案制定提供科学支撑。此外，其内置的实时辅助工具与长期护理规划功能可优化日常照护流程，有效减轻护理人员的照护负担。该应用将图像处理技术与预测分析技术深度融合，为痴呆症照护提供了一种数据驱动的个性化解决方案。它可为医疗服务提供者与护理人员提供可指导实践的洞察信息，助力开展前瞻性病情管理，有望延缓疾病进展并提升患者的生活质量。