AIMC Topic: Edema
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Deep Learning-Enabled Morphometric Analysis for Toxicity Screening Using Zebrafish Larvae.
Environmental science & technology
Mar 27, 2023
Toxicology studies heavily rely on morphometric analysis to detect abnormalities and diagnose disease processes. The emergence of ever-increasing varieties of environmental pollutants makes it difficult to perform timely assessments, especially using...
A machine learning approach for predicting perihematomal edema expansion in patients with intracerebral hemorrhage.
European radiology
Dec 6, 2022
OBJECTIVES: Preventing the expansion of perihematomal edema (PHE) represents a novel strategy for the improvement of neurological outcomes in intracerebral hemorrhage (ICH) patients. Our goal was to predict early and delayed PHE expansion using a mac...
Diagnostic performance for detecting bone marrow edema of the hip on dual-energy CT: Deep learning model vs. musculoskeletal physicians and radiologists.
European journal of radiology
Apr 30, 2022
PURPOSE: To compare the diagnostic performance of a deep learning (DL) model with that of musculoskeletal physicians and radiologists for detecting bone marrow edema on dual-energy CT (DECT).
External COVID-19 Deep Learning Model Validation on ACR AI-LAB: It's a Brave New World.
Journal of the American College of Radiology : JACR
Apr 8, 2022
PURPOSE: Deploying external artificial intelligence (AI) models locally can be logistically challenging. We aimed to use the ACR AI-LAB software platform for local testing of a chest radiograph (CXR) algorithm for COVID-19 lung disease severity asses...
Deep learning shows good reliability for automatic segmentation and volume measurement of brain hemorrhage, intraventricular extension, and peripheral edema.
European radiology
Jan 6, 2021
OBJECTIVES: To evaluate for the first time the performance of a deep learning method based on no-new-Net for fully automated segmentation and volumetric measurements of intracerebral hemorrhage (ICH), intraventricular extension of intracerebral hemor...
Deep Learning for Automated Measurement of Hemorrhage and Perihematomal Edema in Supratentorial Intracerebral Hemorrhage.
Stroke
Dec 6, 2019
Background and Purpose- Volumes of hemorrhage and perihematomal edema (PHE) are well-established biomarkers of primary and secondary injury, respectively, in spontaneous intracerebral hemorrhage. An automated imaging pipeline capable of accurately an...
Predicting postoperative facial swelling following impacted mandibular third molars extraction by using artificial neural networks evaluation.
Scientific reports
Aug 16, 2018
Patients' postoperative facial swelling following third molars extraction may have both biological impacts and social impacts. The purpose of this study was to evaluate the accuracy of artificial neural networks in the prediction of the postoperative...
Jobelyn attenuates inflammatory responses and neurobehavioural deficits associated with complete Freund-adjuvant-induced arthritis in mice.
Biomedicine & pharmacotherapy = Biomedecine & pharmacotherapie
Dec 27, 2017
Rheumatoid arthritis (RA) is a chronic inflammatory disease that affects the physical and psychosocial wellbeing of the patients and a major cause of work disability. Current drugs for its treatment only provide palliative effect, as cure for the dis...
BIOLOGICAL AND PHYTOCHEMICAL INVESTIGATIONS OF EXTRACTS FROM POIR (FABACEAE) ROOT BARKS.
African journal of traditional, complementary, and alternative medicines : AJTCAM
Nov 23, 2016
BACKGROUND: Poir. belonging to Fabacae familly is used as medicinal plant in Burkina Faso's folk medicine. Roots of are used to treat ulcer, stomach ache and inflammatory diseases. The objective of the present study was to carry out phytochemical c...
Hierarchical Classification and System Combination for Automatically Identifying Physiological and Neuromuscular Laryngeal Pathologies.
Journal of voice : official journal of the Voice Foundation
Oct 12, 2016
OBJECTIVES: Speech signal processing techniques have provided several contributions to pathologic voice identification, in which healthy and unhealthy voice samples are evaluated. A less common approach is to identify laryngeal pathologies, for which...
Case-Control Studies
Diagnosis, Computer-Assisted
Support Vector Machine
Predictive Value of Tests
Signal Processing, Computer-Assisted
Pattern Recognition, Automated
Edema
Humans
Databases, Factual
Female
Male
Speech Acoustics
Voice Disorders
Vocal Cord Paralysis
Speech Production Measurement
Vocal Cords
Voice Quality
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