AIMC Topic: Infant
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Multi-modal body part segmentation of infants using deep learning.
Biomedical engineering online
Mar 22, 2023
BACKGROUND: Monitoring the body temperature of premature infants is vital, as it allows optimal temperature control and may provide early warning signs for severe diseases such as sepsis. Thermography may be a non-contact and wireless alternative to ...
Automatic detection of punctate white matter lesions in infants using deep learning of composite images from two cases.
Scientific reports
Mar 17, 2023
Punctate white matter lesions (PWMLs) in infants may be related to neurodevelopmental outcomes based on the location or number of lesions. This study aimed to assess the automatic detectability of PWMLs in infants on deep learning using composite ima...
A Patch-Based Deep Learning Approach for Detecting Rib Fractures on Frontal Radiographs in Young Children.
Journal of digital imaging
Mar 10, 2023
Chest radiography is the modality of choice for the identification of rib fractures in young children and there is value for the development of computer-aided rib fracture detection in this age group. However, the automated identification of rib frac...
Generation and application of a convolutional neural networks algorithm in evaluating stool consistency in diapers.
Acta paediatrica (Oslo, Norway : 1992)
Mar 7, 2023
AIM: The aim of the study was to develop a deep convolutional neural networks (CNNs) algorithm for automated assessment of stool consistency from diaper photographs and test its performance under real-world conditions.
Automated postural asymmetry assessment in infants neurodevelopmental evaluation using novel video-based features.
Computer methods and programs in biomedicine
Mar 5, 2023
BACKGROUND AND OBJECTIVE: Neurodevelopmental assessment enables the identification of infant developmental disorders in the first months of life. Thus, the appropriate therapy can be initiated promptly, increasing the chances for correct motor functi...
iBEAT V2.0: a multisite-applicable, deep learning-based pipeline for infant cerebral cortical surface reconstruction.
Nature protocols
Mar 3, 2023
The human cerebral cortex undergoes dramatic and critical development during early postnatal stages. Benefiting from advances in neuroimaging, many infant brain magnetic resonance imaging (MRI) datasets have been collected from multiple imaging sites...
Deep learning-based prediction of rib fracture presence in frontal radiographs of children under two years of age: a proof-of-concept study.
The British journal of radiology
Mar 3, 2023
OBJECTIVE: In this proof-of-concept study, we aimed to develop deep-learning-based classifiers to identify rib fractures on frontal chest radiographs in children under 2 years of age.
Oncological and functional outcomes of high-risk and very high-risk prostate cancer patients after robot-assisted radical prostatectomy.
PloS one
Mar 3, 2023
PURPOSE: This study investigated the oncological and functional outcomes of robot-assisted radical prostatectomy (RaRP) in high-risk and very high-risk prostate cancer patients.
Robot-Assisted Retroperitoneoscopic Diamond Bypass Pyeloplasty.
Journal of pediatric surgery
Feb 23, 2023
AIM: Robot (da Vinci Si; Intuitive Surgical, Sunnyvale, CA) assisted retroperitoneoscopic diamond bypass pyeloplasty (R-RDBP) performed for ureteropelvic junction (UPJ) obstruction (n = 5) is presented.
Critical Device Reliability Assessment in Healthcare Services.
Journal of healthcare engineering
Feb 20, 2023
Medical device reliability is the ability of medical devices to endure functioning and is indispensable to ensure service delivery to patients. Preferred Reporting Items for Systematic Review and Meta-Analyses (PRISMA) technique was employed in May 2...
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