AIMC Topic: Case-Control Studies

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Exploring Cognitive Dysfunction in Long COVID Patients: Eye Movement Abnormalities and Frontal-Subcortical Circuits Implications via Eye-Tracking and Machine Learning.

The American journal of medicine Apr 5, 2024
BACKGROUND: Cognitive dysfunction is regarded as one of the most severe aftereffects following coronavirus disease 2019 (COVID-19). Eye movements, controlled by several brain areas, such as the dorsolateral prefrontal cortex and frontal-thalamic circ...
Humans Machine Learning COVID-19 Male Middle Aged Eye-Tracking Technology Case-Control Studies Cognitive Dysfunction Female SARS-CoV-2 Aged Adult Saccades Ocular Motility Disorders
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Rapid Endoscopic Diagnosis of Benign Ulcerative Colorectal Diseases With an Artificial Intelligence Contextual Framework.

Gastroenterology Apr 5, 2024
BACKGROUND & AIMS: Benign ulcerative colorectal diseases (UCDs) such as ulcerative colitis, Crohn's disease, ischemic colitis, and intestinal tuberculosis share similar phenotypes with different etiologies and treatment strategies. To accurately diag...
Diagnosis, Differential Predictive Value of Tests Video Recording Image Interpretation, Computer-Assisted Aged Adult Machine Learning Male Case-Control Studies Retrospective Studies Humans Colon Middle Aged ROC Curve Artificial Intelligence Colonoscopy Female Colitis, Ulcerative Reproducibility of Results
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Artificial intelligence facial recognition system for diagnosis of endocrine and metabolic syndromes based on a facial image database.

Diabetes & metabolic syndrome Apr 3, 2024
AIM: To build a facial image database and to explore the diagnostic efficacy and influencing factors of the artificial intelligence-based facial recognition (AI-FR) system for multiple endocrine and metabolic syndromes.
Facial Recognition Endocrine System Diseases Case-Control Studies Follow-Up Studies Metabolic Syndrome Face Humans Artificial Intelligence Algorithms Databases, Factual Adult Male Middle Aged Prognosis Female
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Explainable artificial intelligence models for predicting risk of suicide using health administrative data in Quebec.

PloS one Apr 3, 2024
Suicide is a complex, multidimensional event, and a significant challenge for prevention globally. Artificial intelligence (AI) and machine learning (ML) have emerged to harness large-scale datasets to enhance risk detection. In order to trust and ac...
Case-Control Studies Humans Suicide Artificial Intelligence Quebec Female Routinely Collected Health Data Male
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Machine Learning Model Based on Radiomics for Preoperative Differentiation of Jaw Cystic Lesions.

Otolaryngology--head and neck surgery : official journal of American Academy of Otolaryngology-Head and Neck Surgery Apr 1, 2024
OBJECTIVE: This study aims to use machine learning techniques together with radiomics methods to build a preoperative predictive diagnostic model from spiral computed tomography (CT) images. The model is intended for the differential diagnosis of com...
Humans Machine Learning Retrospective Studies Female Aged Case-Control Studies Diagnosis, Differential Predictive Value of Tests Tomography, Spiral Computed Jaw Cysts Adult Radiomics Male Middle Aged
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Recognition of Glaucomatous Fundus Images Using Machine Learning Methods Based on Optic Nerve Head Topographic Features.

Journal of glaucoma Mar 29, 2024
PRCIS: Machine learning classifiers are an effective approach to detecting glaucomatous fundus images based on optic disc topographic features making it a straightforward and effective approach.
Humans Glaucoma Machine Learning Aged Intraocular Pressure Male Retrospective Studies Female Optic Nerve Diseases Glaucoma, Open-Angle Middle Aged Case-Control Studies Fundus Oculi Optic Disk
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Impact of artificial intelligence arrhythmia mapping on time to first ablation, procedure duration, and fluoroscopy use.

Journal of cardiovascular electrophysiology Mar 4, 2024
INTRODUCTION: Artificial intelligence (AI) ECG arrhythmia mapping provides arrhythmia source localization using 12-lead ECG data; whether this information impacts procedural efficiency is unknown. We performed a retrospective, case-control study to e...
Heart Rate Catheter Ablation Time-to-Treatment Electrophysiologic Techniques, Cardiac Operative Time Female Predictive Value of Tests Aged Fluoroscopy Male Arrhythmias, Cardiac Middle Aged Case-Control Studies Electrocardiography Humans Time Factors Treatment Outcome Artificial Intelligence Action Potentials Retrospective Studies
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Deep Learning based Retinal Vessel Caliber Measurement and the Association with Hypertension.

Current eye research Feb 26, 2024
PURPOSE: To develop a highly efficient and fully automated method that measures retinal vessel caliber using digital retinal photographs and evaluate the association between retinal vessel caliber and hypertension.
Blood Pressure Retinal Vessels Humans Deep Learning Middle Aged Female ROC Curve Case-Control Studies Aged Hypertension Male
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Direct anterior approach with conventional instruments versus robotic posterolateral approach in elective total hip replacement for primary osteoarthritis: a case-control study.

Journal of orthopaedics and traumatology : official journal of the Italian Society of Orthopaedics and Traumatology Feb 21, 2024
BACKGROUND: The purpose of this study is to compare peri-operative and short-term outcomes in patients who underwent elective total hip replacement (THA) for primary osteoarthritis (OA) with direct anterior approach (DAA) versus a pair-matched cohort...
Aged Middle Aged Case-Control Studies Robotics Humans Retrospective Studies Robotic Surgical Procedures Osteoarthritis Arthroplasty, Replacement, Hip Leg Length Inequality
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Examining arterial pulsation to identify and risk-stratify heart failure subjects with deep neural network.

Physical and engineering sciences in medicine Feb 15, 2024
Hemodynamic parameters derived from pulse wave analysis have been shown to predict long-term outcomes in patients with heart failure (HF). Here we aimed to develop a deep-learning based algorithm that incorporates pressure waveforms for the identific...
Arteries Humans Neural Networks, Computer ROC Curve Female Middle Aged Pulse Wave Analysis Aged Risk Assessment Heart Failure Male Case-Control Studies Proportional Hazards Models Deep Learning
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