首页|Imperial College London Reports Findings in Artificial Intelligence (Artificial Intelligence for Prediction of Shunt Response in Idiopathic Normal Pressure Hydr ocephalus: A Systematic Review)

Imperial College London Reports Findings in Artificial Intelligence (Artificial Intelligence for Prediction of Shunt Response in Idiopathic Normal Pressure Hydr ocephalus: A Systematic Review)

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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-New research on Artificial Intelligenc e is the subject of a report. According to news reporting from London, United Ki ngdom, by NewsRx journalists, research stated, "Idiopathic normal pressure hydro cephalus (iNPH) is a reversible cause of dementia, typically treated with shunt surgery, although outcomes vary. Artificial intelligence (AI) advancements could improve predictions of shunt response (SR) by analyzing extensive data sets." The news correspondents obtained a quote from the research from Imperial College London, "We conducted a systematic review to assess AI's effectiveness in predi cting SR in iNPH. Studies using AI or machine learning (ML) algorithms for SR pr ediction were identified through searches in MEDLINE, EMBASE, and Web of Science up to September 2023, adhering to Synthesis Without Meta-Analysis reporting gui delines. Out of 3541 studies identified, 33 were assessed for eligibility, and 8 involving 479 patients were included. Study sample sizes varied from 28 to 132 patients. Common data inputs included imaging/radiomics (62.5%) and demographics (37.5%), with Support Vector Machine being the most f requently used ML algorithm (87.5%). Two studies compared multiple algorithms. Only four studies reported the Area Under the Curve (AUC) values, wh ich ranged between 0.80 and 0.94. The results highlighted inconsistency in outco me measures, data heterogeneity, and potential biases in the models used. While AI shows promise for improving iNPH management, there is a need for standardized data and extensive validation of AI models to enhance their clinical utility."

LondonUnited KingdomEuropeArtifici al IntelligenceBrain Diseases and ConditionsCentral Nervous System Diseases and ConditionsEmerging TechnologiesHealth and MedicineHydrocephalusIntra cranial HypertensionMachine LearningNervous System Diseases and ConditionsNormal Pressure Hydrocephalus

2024

Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
年,卷(期):2024.(Oct.4)