Artificial Intelligence Approaches for the Detection of Normal Pressure Hydrocephalus: A Systematic Review

• Published in: Applied sciences Vol. 15; no. 7; p. 3653
• Main Authors: Mercado-Diaz, Luis R., Prakash, Neha, Gong, Gary X., Posada-Quintero, Hugo F.
• Format: Journal Article
• Language: English
• Published: Basel MDPI AG 01.04.2025
• Subjects: Accuracy; Algorithms; Alzheimer's disease; Artificial intelligence; Cognitive ability; Computational linguistics; Decision trees; Deep learning; Disease; Hydrocephalus; Language processing; Machine learning; Medical imaging; Medical imaging equipment; Natural language interfaces; Nervous system diseases; Neural networks; normal pressure hydrocephalus; Surgery; Systematic review; Urinary incontinence; United States; Connecticut; Taiwan

Normal pressure hydrocephalus (NPH) is a neurological disorder characterized by altered cerebrospinal fluid accumulation in the brain’s ventricles, leading to symptoms such as gait disturbance and cognitive impairment. Artificial intelligence (AI), including machine learning (ML) and deep learning (...