AIMC Topic: Infant

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Infant death prediction using machine learning: A population-based retrospective study.

Computers in biology and medicine Sep 1, 2023
BACKGROUND: Despite declines in infant death rates in recent decades in the United States, the national goal of reducing infant death has not been reached. This study aims to predict infant death using machine-learning approaches.
Machine Learning Retrospective Studies Pregnancy Humans Birth Weight Gestational Age Infant Death Female Infant, Newborn Infant
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Development of a Radiomics-Based Model to Predict Graft Fibrosis in Liver Transplant Recipients: A Pilot Study.

Transplant international : official journal of the European Society for Organ Transplantation Sep 1, 2023
Liver Transplantation is complicated by recurrent fibrosis in 40% of recipients. We evaluated the ability of clinical and radiomic features to flag patients at risk of developing future graft fibrosis. CT scans of 254 patients at 3-6 months post-live...
Humans Fibrosis Artificial Intelligence Retrospective Studies Infant Pilot Projects Liver Transplantation
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Correlation of urinary continence recovery with various factors after Robot assisted radical prostatectomy.

Urologia Aug 26, 2023
BACKGROUND: In addition to ensuring cancer control, prevention of incontinence which significantly impact patients' quality of life, is also an important issue in robot-assisted radical prostatectomy (RARP) operations. In this study, we aimed to find...
Treatment Outcome Recovery of Function Robotics Male Infant Quality of Life Prostatectomy Prostatic Neoplasms Robotic Surgical Procedures Prostate Humans
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Does previous endoscopic subureteric injection (STING) effect the outcomes of robot-assisted laparoscopic ureteral reimplantation surgery (RALUR) in children?

Journal of pediatric urology Aug 2, 2023
BACKGROUND: There is lack of evidence on the success of robot-assisted laparoscopic ureteral reimplantation (RALUR) for the treatment of vesicoureteral reflux (VUR) who had prior intervention.
Humans Retrospective Studies Vesico-Ureteral Reflux Ureter Child, Preschool Child Treatment Outcome Robotics Laparoscopy Replantation Female Male Postoperative Complications Infant Adolescent
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MRI-based deep learning model for differentiation of hepatic hemangioma and hepatoblastoma in early infancy.

European journal of pediatrics Jul 18, 2023
UNLABELLED: Hepatic hemangioma (HH) and hepatoblastoma (HBL) are common pediatric liver tumors and present with similar clinical manifestations with limited distinguishing value of serum AFP in early infancy. An accurate differentiation diagnostic to...
Liver Neoplasms Magnetic Resonance Imaging alpha-Fetoproteins Hemangioma Hepatoblastoma Deep Learning Child, Preschool Child Retrospective Studies Infant Humans
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Glucose-6-phosphate dehydrogenase deficiency with coinherited Gaucher disease: A rare association.

Indian journal of pathology & microbiology Jul 6, 2023
Anemia coexisting with Gaucher disease (GD) is often associated with non-hemolytic processes. Few cases of GD with autoimmune hemolytic anemia have been reported. However, literature on GD with concomitant nonimmune hemolytic anemia is scarce. A 1-ye...
Infant Bone Marrow Humans Gaucher Disease Male Glucosephosphate Dehydrogenase Deficiency
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Ensemble Approach on Deep and Handcrafted Features for Neonatal Bowel Sound Detection.

IEEE journal of biomedical and health informatics Jun 5, 2023
For the care of neonatal infants, abdominal auscultation is considered a safe, convenient, and inexpensive method to monitor bowel conditions. With the help of early automated detection of bowel dysfunction, neonatologists could create a diagnosis pl...
Machine Learning Infant, Newborn Infant Humans Auscultation Intensive Care Units, Neonatal
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Issue of Data Imbalance on Low Birthweight Baby Outcomes Prediction and Associated Risk Factors Identification: Establishment of Benchmarking Key Machine Learning Models With Data Rebalancing Strategies.

Journal of medical Internet research May 31, 2023
BACKGROUND: Low birthweight (LBW) is a leading cause of neonatal mortality in the United States and a major causative factor of adverse health effects in newborns. Identifying high-risk patients early in prenatal care is crucial to preventing adverse...
Bayes Theorem Birth Weight Benchmarking Infant, Newborn Risk Factors Humans Infant Machine Learning Pregnancy Female
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Multiview child motor development dataset for AI-driven assessment of child development.

GigaScience May 27, 2023
BACKGROUND: Children's motor development is a crucial tool for assessing developmental levels, identifying developmental disorders early, and taking appropriate action. Although the Korean Developmental Screening Test for Infants and Children (K-DST)...
Humans Child Learning Artificial Intelligence Child Development Infant Child, Preschool
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Diagnosis of Developmental Dysplasia of the Hip by Ultrasound Imaging Using Deep Learning.

Journal of pediatric orthopedics May 12, 2023
BACKGROUND: A timely diagnosis of developmental dysplasia of the hip (DDH) is important for satisfactory clinical outcomes. Ultrasonography is a useful tool for DDH screening; however, it is technically demanding. We hypothesized that deep learning c...
Humans Artificial Intelligence Retrospective Studies Hip Dislocation, Congenital Infant Developmental Dysplasia of the Hip Deep Learning Ultrasonography
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