AIMC Topic: Infant

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Enhanced U-Net for Infant Brain MRI Segmentation: A (2+1)D Convolutional Approach.

Sensors (Basel, Switzerland) Feb 28, 2025
BACKGROUND: Infant brain tissue segmentation from MRI data is a critical task in medical imaging, particularly challenging due to the evolving nature of tissue contrasts in the early months of life. The difficulty increases as gray matter (GM) and wh...
Image Processing, Computer-Assisted Magnetic Resonance Imaging Cerebrospinal Fluid Datasets as Topic Spatio-Temporal Analysis Humans Deep Learning Brain Convolutional Neural Networks Infant Gray Matter Imaging, Three-Dimensional White Matter
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Development of an artificial intelligence-based multimodal diagnostic system for early detection of biliary atresia.

BMC medicine Feb 27, 2025
BACKGROUND: Early diagnosis of biliary atresia (BA) is crucial for improving patient outcomes, yet remains a significant global challenge. This challenge may be ameliorated through the application of artificial intelligence (AI). Despite the promise ...
Infant, Newborn Male Infant Deep Learning Prospective Studies Retrospective Studies Female Ultrasonography Early Diagnosis Biliary Atresia Humans Artificial Intelligence
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Machine learning for early diagnosis of Kawasaki disease in acute febrile children: retrospective cross-sectional study in China.

Scientific reports Feb 25, 2025
Early diagnosis of Kawasaki disease (KD) allows timely treatment to be initiated, thereby preventing coronary artery aneurysms in children. However, it is challenging due to the subjective nature of the diagnostic criteria. This study aims to develop...
Fever Early Diagnosis Child, Preschool Child ROC Curve Mucocutaneous Lymph Node Syndrome Male Machine Learning Infant Retrospective Studies China Female Cross-Sectional Studies Humans
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Deep Learning-Enhanced Ultra-high-resolution CT Imaging for Superior Temporal Bone Visualization.

Academic radiology Feb 24, 2025
RATIONALE AND OBJECTIVES: This study assesses the image quality of temporal bone ultra-high-resolution (UHR) Computed tomography (CT) scans in adults and children using hybrid iterative reconstruction (HIR) and a novel, vendor-specific deep learning-...
Aged, 80 and over Humans Young Adult Child, Preschool Adult Middle Aged Retrospective Studies Child Infant Male Tomography, X-Ray Computed Radiographic Image Interpretation, Computer-Assisted Deep Learning Female Temporal Bone Adolescent Aged
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AI-MET: A deep learning-based clinical decision support system for distinguishing multisystem inflammatory syndrome in children from endemic typhus.

Computers in biology and medicine Feb 22, 2025
The COVID-19 pandemic brought several diagnostic challenges, including the post-infectious sequelae multisystem inflammatory syndrome in children (MIS-C). Some of the clinical features of this syndrome can be found in other pathologies such as Kawasa...
Humans COVID-19 Female SARS-CoV-2 Male Infant Deep Learning Decision Support Systems, Clinical Child, Preschool Diagnosis, Differential Child Typhus, Endemic Flea-Borne Systemic Inflammatory Response Syndrome
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Impact of deep learning on pediatric elbow fracture detection: a systematic review and meta-analysis.

European journal of trauma and emergency surgery : official publication of the European Trauma Society Feb 20, 2025
OBJECTIVES: Pediatric elbow fractures are a common injury among children. Recent advancements in artificial intelligence (AI), particularly deep learning (DL), have shown promise in diagnosing these fractures. This study systematically evaluated the ...
Fractures, Bone Elbow Injuries Elbow Fractures Deep Learning Adolescent Child, Preschool Child Humans Sensitivity and Specificity Infant
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SegFormer3D: Improving the Robustness of Deep Learning Model-Based Image Segmentation in Ultrasound Volumes of the Pediatric Hip.

Ultrasound in medicine & biology Feb 19, 2025
Developmental dysplasia of the hip (DDH) is a painful orthopedic malformation diagnosed at birth in 1-3% of all newborns. Left untreated, DDH can lead to significant morbidity including long-term disability. Currently the condition is clinically diag...
Female Infant, Newborn Male Infant Deep Learning Humans Ultrasonography Imaging, Three-Dimensional Developmental Dysplasia of the Hip
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Deep learning-based automated guide for defining a standard imaging plane for developmental dysplasia of the hip screening using ultrasonography: a retrospective imaging analysis.

BMC medical informatics and decision making Feb 18, 2025
BACKGROUND: We aimed to propose a deep-learning neural network model for automatically detecting five landmarks during a two-dimensional (2D) ultrasonography (US) scan to develop a standard plane for developmental dysplasia of the hip (DDH) screening...
Anatomic Landmarks Developmental Dysplasia of the Hip Infant Deep Learning Ultrasonography Humans Neural Networks, Computer Retrospective Studies Female Male
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Effectiveness of social robots in improving psychological well-being of hospitalised children: A systematic review and meta-analysis.

Journal of pediatric nursing Feb 17, 2025
AIM: To evaluate the effectiveness of social robots in reducing pain, stress, and anxiety among hospitalised children.
Child, Hospitalized Humans Child, Preschool Male Psychological Well-Being Female Child Infant Robotics Anxiety Pain Management Stress, Psychological
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An explainable and accurate transformer-based deep learning model for wheeze classification utilizing real-world pediatric data.

Scientific reports Feb 15, 2025
Auscultation is a method that involves listening to sounds from the patient's body, mainly using a stethoscope, to diagnose diseases. The stethoscope allows for non-invasive, real-time diagnosis, and it is ideal for diagnosing respiratory diseases an...
Infant Prospective Studies Republic of Korea Deep Learning Female Child, Preschool Male Child Stethoscopes Humans Auscultation Respiratory Sounds
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