AIMC Topic: Infant, Newborn

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Exploring the achievements and forecasting of SDG 3 using machine learning algorithms: Bangladesh perspective.

PloS one Mar 4, 2025
BACKGROUND: Sustainable Development Goal 3 (SDG 3), focusing on ensuring healthy lives and well-being for all, holds global significance and is particularly vital for Bangladesh. Neonatal Mortality Rate (NMR), Under-5 Mortality Rate (U5MR), Maternal ...
Infant, Newborn Infant Child, Preschool Child Mortality Bangladesh Algorithms Humans Infant Mortality Maternal Mortality Forecasting Neural Networks, Computer Sustainable Development Female Machine Learning
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Deep learning models for early and accurate diagnosis of ventilator-associated pneumonia in mechanically ventilated neonates.

Computers in biology and medicine Mar 3, 2025
BACKGROUND: Early and accurate confirmation of critically ill neonates with a suspected diagnosis of ventilator-associated pneumonia (VAP) can optimize the therapeutic strategy and avoid unnecessary use of empirical antibiotics. We aimed to examine w...
Pneumonia, Ventilator-Associated Intensive Care Units, Neonatal Male Respiration, Artificial Deep Learning Humans Female Infant, Newborn
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Disclosing neonatal pain in real-time: AI-derived pain sign from continuous assessment of facial expressions.

Computers in biology and medicine Mar 1, 2025
This study introduces an AI-derived pain sign for continuous neonatal pain assessment, addressing the limitations of existing pain scales and computational approaches. Traditional pain scales, though widely used, are hindered by inter-rater variabili...
Humans Deep Learning Pain Measurement Pain Facial Expression Female Infant, Newborn Male
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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 ...
Early Diagnosis Biliary Atresia Artificial Intelligence Infant Female Humans Prospective Studies Deep Learning Retrospective Studies Infant, Newborn Ultrasonography Male
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Utilization of tree-based machine learning models for predicting low birth weight cases.

BMC pregnancy and childbirth Feb 26, 2025
BACKGROUND: Low birth weight (LBW) is a health condition that affects over 20 million gestational outcomes worldwide. The current literature indicates that machine learning models have the potential to assist healthcare professionals in predicting LB...
Infant, Newborn Adult Infant, Low Birth Weight Machine Learning Pregnancy Female Humans
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Continuous non-contact monitoring of neonatal activity.

BMC pediatrics Feb 25, 2025
PURPOSE: Neonatal activity is an important physiological parameter in the neonatal intensive care unit (NICU). The degree of neonatal activity is associated with under and over-sedation and may also indicate the onset of disease. Activity may also ca...
Video Recording Male Humans Female ROC Curve Machine Learning Intensive Care Units, Neonatal Infant, Newborn Algorithms Monitoring, Physiologic Sensitivity and Specificity
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Feasibility study of texture-based machine learning approach for early detection of neonatal jaundice.

Scientific reports Feb 22, 2025
Untreated neonatal jaundice can have severe consequences. Effective screening for neonatal jaundice can prevent long-term complications in infants. Non-invasive approaches may be beneficial in settings with limited resources. This feasibility study e...
Jaundice, Neonatal Early Diagnosis Bilirubin Neonatal Screening Female Infant, Newborn Male Image Processing, Computer-Assisted Support Vector Machine Feasibility Studies Humans Machine Learning
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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...
Humans Female Deep Learning Ultrasonography Imaging, Three-Dimensional Developmental Dysplasia of the Hip Infant, Newborn Male Infant
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Artificial Intelligence non-invasive methods for neonatal jaundice detection: A review.

Artificial intelligence in medicine Feb 19, 2025
Neonatal jaundice is a common and potentially fatal health condition in neonates, especially in low and middle income countries, where it contributes considerably to neonatal morbidity and death. Traditional diagnostic approaches, such as Total Serum...
Jaundice, Neonatal Deep Learning Smartphone Bilirubin Humans Machine Learning Infant, Newborn Neural Networks, Computer Artificial Intelligence
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Predicting mother and newborn skin-to-skin contact using a machine learning approach.

BMC pregnancy and childbirth Feb 18, 2025
BACKGROUND: Despite the known benefits of skin-to-skin contact (SSC), limited data exists on its implementation, especially its influencing factors. The current study was designed to use machine learning (ML) to identify the predictors of SSC.
Mothers Mother-Child Relations Kangaroo-Mother Care Method Female Infant, Newborn Adult Humans Machine Learning Pregnancy
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