AIMC Topic: Case-Control Studies

Clear Filters Showing 461 to 470 of 907 articles

Comparison of FreeHand robot-assisted with human-assisted laparoscopic fundoplication.

Minimally invasive therapy & allied technologies : MITAT : official journal of the Society for Minimally Invasive Therapy Jun 5, 2020
OBJECTIVE: To compare the safety, operative time and feasibilty of FreeHand robot (FreeHand Ltd, Guildford, United Kingdom) with manual camera control approach for Laparoscopic Fundoplication.
Gastroesophageal Reflux Fundoplication Humans Case-Control Studies Treatment Outcome Robotics Laparoscopy
View on PubMed DOI

Effect of congenital adrenal hyperplasia treated by glucocorticoids on plasma metabolome: a machine-learning-based analysis.

Scientific reports Jun 1, 2020
BACKGROUND: Congenital adrenal hyperplasia (CAH) due to 21-hydroxylase deficiency leads to impaired cortisol biosynthesis. Treatment includes glucocorticoid supplementation. We studied the specific metabolomics signatures in CAH patients using two di...
Female Young Adult Adult Male Glucocorticoids Humans Machine Learning Hydrocortisone Purines Adrenal Hyperplasia, Congenital Pyrimidines Indoleamine-Pyrrole 2,3,-Dioxygenase Case-Control Studies ROC Curve Metabolomics Metabolome Area Under Curve
View on PubMed DOI

Visual Speech Recognition: Improving Speech Perception in Noise through Artificial Intelligence.

Otolaryngology--head and neck surgery : official journal of American Academy of Otolaryngology-Head and Neck Surgery May 26, 2020
OBJECTIVES: To compare speech perception (SP) in noise for normal-hearing (NH) individuals and individuals with hearing loss (IWHL) and to demonstrate improvements in SP with use of a visual speech recognition program (VSRP).
Hearing Loss Speech Perception Visual Perception Humans Artificial Intelligence Prospective Studies Young Adult Adult Middle Aged Case-Control Studies Noise Sound Spectrography
View on PubMed DOI

The fourier M2 robotic machine combined with occupational therapy on post-stroke upper limb function and independence-related quality of life: A randomized clinical trial.

Topics in stroke rehabilitation May 21, 2020
Most post-stroke patients experience upper limb functionality challenges. Emergent therapies using upper limb-based robot machines present opportunities to resolve the limitations inherent in Occupational therapy such as increased therapist-patient e...
Activities of Daily Living Humans Case-Control Studies Recovery of Function Female Robotics Occupational Therapy Aged Stroke Male Middle Aged Quality of Life Upper Extremity Physical Therapy Modalities Stroke Rehabilitation
View on PubMed DOI

Multi-instance Deep Learning of Ultrasound Imaging Data for Pattern Classification of Congenital Abnormalities of the Kidney and Urinary Tract in Children.

Urology May 20, 2020
OBJECTIVE: To reliably and quickly diagnose children with posterior urethral valves (PUV), we developed a multi-instance deep learning method to automate image analysis.
Vesico-Ureteral Reflux Infant Female Hydronephrosis Humans Case-Control Studies Infant, Newborn Kidney Urethra Deep Learning Ultrasonography ROC Curve Diagnosis, Differential Feasibility Studies Image Interpretation, Computer-Assisted Urogenital Abnormalities Reproducibility of Results Male
View on PubMed DOI

Machine-learning based exploration of determinants of gray matter volume in the KORA-MRI study.

Scientific reports May 20, 2020
To identify the most important factors that impact brain volume, while accounting for potential collinearity, we used a data-driven machine-learning approach. Gray Matter Volume (GMV) was derived from magnetic resonance imaging (3T, FLAIR) and adjust...
Life Style Confounding Factors, Epidemiologic Linear Models Germany Gray Matter Prediabetic State Cardiovascular Diseases Middle Aged Case-Control Studies Diabetes Mellitus, Type 2 Glomerular Filtration Rate Follow-Up Studies Magnetic Resonance Imaging Models, Neurological Organ Size Machine Learning Prospective Studies Female Cross-Sectional Studies Humans Male
View on PubMed DOI

Jupyter notebook-based tools for building structured datasets from the Sequence Read Archive.

F1000Research May 19, 2020
The Sequence Read Archive (SRA) is a large public repository that stores raw next-generation sequencing data from thousands of diverse scientific investigations.  Despite its promise, reuse and re-analysis of SRA data has been challenged by the heter...
High-Throughput Nucleotide Sequencing Humans Datasets as Topic Software Metadata Case-Control Studies Biological Ontologies RNA-Seq
View on PubMed DOI

Pulmonary Embolism in Acute Asthma Exacerbation: Clinical Characteristics, Prediction Model and Hospital Outcomes.

Lung May 18, 2020
PURPOSE: Little is known about the characteristics and impact of acute pulmonary embolism (PE) during episodes of asthma exacerbation. We aimed to characterize patients diagnosed with acute PE in the setting of asthma exacerbation, develop a predicti...
Adult Asthma Male Middle Aged Disease Progression Comorbidity Case-Control Studies Length of Stay Body Mass Index Humans Machine Learning Intensive Care Units Female Aged Clinical Decision Rules Hospitals, University Oxygen Heart Rate International Normalized Ratio Natriuretic Peptide, Brain Pulmonary Embolism Fibrin Fibrinogen Degradation Products Creatinine Computed Tomography Angiography
View on PubMed DOI

Macroscale and microcircuit dissociation of focal and generalized human epilepsies.

Communications biology May 18, 2020
Thalamo-cortical pathology plays key roles in both generalized and focal epilepsies, but there is little work directly comparing these syndromes at the level of whole-brain mechanisms. Using multimodal imaging, connectomics, and computational simulat...
Humans Neural Networks, Computer Female Adolescent Multimodal Imaging Connectome Epilepsies, Partial Epilepsy, Generalized Young Adult Adult Male Middle Aged Case-Control Studies
View on PubMed DOI

A self-administered, artificial intelligence (AI) platform for cognitive assessment in multiple sclerosis (MS).

BMC neurology May 18, 2020
BACKGROUND: Cognitive impairment is common in patients with multiple sclerosis (MS). Accurate and repeatable measures of cognition have the potential to be used as markers of disease activity.
Case-Control Studies Adolescent Cognitive Dysfunction Multiple Sclerosis Reproducibility of Results Neuropsychological Tests Humans Young Adult Artificial Intelligence Adult Learning Male Female Middle Aged
View on PubMed DOI
Popular Topics
Recent Journals