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Contrast-Induced Acute Kidney Injury in Lower Limb Percutaneous Transluminal Angioplasty: A Machine Learning Approach for Preoperative Risk Prediction.

Annals of vascular surgery Mar 11, 2025
BACKGROUND: Contrast-induced acute kidney injury (CI-AKI) is a common complication of lower limb percutaneous transluminal angioplasty (PTA). Common risk models are based on cardiology cohorts for percutaneous coronary intervention. They include a mi...
Male Middle Aged Risk Assessment Humans Treatment Outcome Machine Learning Reproducibility of Results Risk Factors Predictive Value of Tests Aged Decision Support Techniques Angioplasty Retrospective Studies Acute Kidney Injury Female Glomerular Filtration Rate Contrast Media Lower Extremity Peripheral Arterial Disease
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A machine learning approach using gait parameters to cluster TKA subjects into stable and unstable joints for discovery analysis.

The Knee Mar 11, 2025
BACKGROUND: Patient-reported joint instability after total knee arthroplasty (TKA) is difficult to quantify objectively. Here, we apply machine learning to cluster TKA subjects using nine literature-proposed gait parameters as knee instability predic...
Arthroplasty, Replacement, Knee Gait Analysis Humans Osteoarthritis, Knee Machine Learning Middle Aged Joint Instability Female Cluster Analysis Aged Knee Joint Male Gait
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Identifying individuals at risk for weight gain using machine learning in electronic medical records from the United States.

Diabetes, obesity & metabolism Mar 11, 2025
AIMS: Numerous risk factors for the development of obesity have been identified, yet the aetiology is not well understood. Traditional statistical methods for analysing observational data are limited by the volume and characteristics of large dataset...
Electronic Health Records Female Risk Factors Aged Humans Machine Learning Algorithms United States Body Mass Index Obesity Weight Gain Adult Male Middle Aged Risk Assessment
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The Role of Claude 3.5 Sonet and ChatGPT-4 in Posterior Cervical Fusion Patient Guidance.

World neurosurgery Mar 11, 2025
BACKGROUND: This study evaluates the role of ChatGPT-4 and Claude 3.5 Sonet in postoperative management for patients undergoing posterior cervical fusion. It focuses on their ability to provide accurate, clear, and relevant responses to patient conce...
Generative Artificial Intelligence Cervical Vertebrae Spinal Fusion Patient Satisfaction Humans Artificial Intelligence Female Male
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Digital Cytology Combined With Artificial Intelligence Compared to Conventional Microscopy for Anal Cytology: A Preliminary Study.

Cytopathology : official journal of the British Society for Clinical Cytology Mar 11, 2025
INTRODUCTION: Recent studies have shown that digital cytology (DC) coupled with artificial intelligence (AI) algorithms is a valid approach to the diagnosis of cervico-vaginal lesions using liquid-based cytology (LBC). We evaluated the use of these m...
Humans Artificial Intelligence Female Aged Adult Uterine Cervical Neoplasms Anal Canal Middle Aged Cytodiagnosis Microscopy Anus Neoplasms
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Using Machine Learning Models to Diagnose Chronic Rhinosinusitis: Analysis of Pre-Treatment Patient-Generated Health Data to Predict Cardinal Symptoms and Sinonasal Inflammation.

American journal of rhinology & allergy Mar 11, 2025
BackgroundThe diagnosis of chronic rhinosinusitis (CRS) relies upon patient-reported symptoms and objective nasal endoscopy and/or computed tomography (CT) findings. Many patients, at the time of evaluation by an otolaryngologist or rhinologist, lack...
Rhinosinusitis Patient Reported Outcome Measures Female Aged Adult Middle Aged Male Humans Sinusitis Machine Learning Rhinitis Tomography, X-Ray Computed Chronic Disease
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Evaluation of factors associated with adult skeletal fluorosis in coal-burning type of endemic fluorosis and initial screening model based on machine learning in Guizhou, Southwest China.

Ecotoxicology and environmental safety Mar 11, 2025
Skeletal fluorosis caused by coal-burning type endemic fluorosis greatly affects the health of the population in the affected areas, but large-scale diagnostic work is limited by human and material resources, making it difficult to implement comprehe...
Endemic Diseases Fluorosis, Dental Middle Aged China Child Humans Female Coal Machine Learning Adult Male
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Identification of People in a Household Using Ballistocardiography Signals Through Deep Learning.

Sensors (Basel, Switzerland) Mar 11, 2025
BACKGROUND: Various sensor technologies have been developed to monitor the health of older adults; however, most of them require attachment to the skin. This study aimed to develop a health monitoring system, using a non-adhesive, non-invasive polyvi...
Signal Processing, Computer-Assisted Adult Humans Ballistocardiography Male Neural Networks, Computer Deep Learning Female Monitoring, Physiologic
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PrOsteoporosis: predicting osteoporosis risk using NHANES data and machine learning approach.

BMC research notes Mar 11, 2025
OBJECTIVES: Osteoporosis, prevalent among the elderly population, is primarily diagnosed through bone mineral density (BMD) testing, which has limitations in early detection. This study aims to develop and validate a machine learning approach for ost...
United States Female Risk Factors Aged Adult Male Middle Aged Risk Assessment Nutrition Surveys Machine Learning Algorithms Bone Density Osteoporosis Humans
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Can some algorithms of machine learning identify osteoporosis patients after training and testing some clinical information about patients?

BMC medical informatics and decision making Mar 11, 2025
OBJECTIVE: This study was designed to establish a diagnostic model for osteoporosis by collecting clinical information from patients with and without osteoporosis. Various machine learning algorithms were employed for training and testing the model, ...
Adult Male Osteoporosis Middle Aged Female Humans Aged Machine Learning Aged, 80 and over Algorithms
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