AI Medical Compendium Topic:
Infant

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A six‑gene support vector machine classifier contributes to the diagnosis of pediatric septic shock.

Molecular medicine reports Jan 23, 2020
Septic shock is induced by an uncontrolled inflammatory immune response to pathogens and the survival rate of patients with pediatric septic shock (PSS) is particularly low, with a mortality rate of 25‑50%. The present study explored the mechanisms o...
Databases, Genetic Age Factors Gene Ontology Adolescent Child, Preschool Child ROC Curve Gene Regulatory Networks Computational Biology Gene Expression Regulation, Neoplastic Shock, Septic Support Vector Machine Humans Biomarkers Reproducibility of Results Infant Gene Expression Profiling
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Ovarian torsion: developing a machine-learned algorithm for diagnosis.

Pediatric radiology Jan 22, 2020
BACKGROUND: Ovarian torsion is a common concern in girls presenting to emergency care with pelvic or abdominal pain. The diagnosis is challenging to make accurately and quickly, relying on a combination of physical exam, history and radiologic evalua...
Machine Learning Algorithms Retrospective Studies Female Infant, Newborn Humans Adolescent Cohort Studies Child, Preschool Child Ultrasonography Young Adult Adult Sensitivity and Specificity Infant Image Interpretation, Computer-Assisted Ovary Ovarian Torsion
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Multi-Modal Diagnosis of Infectious Diseases in the Developing World.

IEEE journal of biomedical and health informatics Jan 9, 2020
In low and middle income countries, infectious diseases continue to have a significant impact, particularly amongst the poorest in society. Tetanus and hand foot and mouth disease (HFMD) are two such diseases and, in both, death is associated with au...
Vital Signs Hand, Foot and Mouth Disease Deep Learning Electrocardiography Humans Algorithms Monitoring, Physiologic Wearable Electronic Devices Communicable Diseases Models, Statistical Child, Preschool Adult Developing Countries Photoplethysmography Infant Tetanus Diagnosis, Computer-Assisted
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A Convolutional Neural Network for Real Time Classification, Identification, and Labelling of Vocal Cord and Tracheal Using Laryngoscopy and Bronchoscopy Video.

Journal of medical systems Jan 2, 2020
BACKGROUND: The use of artificial intelligence, including machine learning, is increasing in medicine. Use of machine learning is rising in the prediction of patient outcomes. Machine learning may also be able to enhance and augment anesthesia clinic...
Machine Learning Child Humans Male Algorithms Bronchoscopy Neural Networks, Computer Female Infant Trachea Young Adult Adolescent Vocal Cords Sensitivity and Specificity Child, Preschool Laryngoscopy
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A quite sensitive fluorescent loop-mediated isothermal amplification for rapid detection of respiratory syncytial virus.

Journal of infection in developing countries Dec 31, 2019
INTRODUCTION: Human respiratory syncytial virus (hRSV) is a common respiratory virus closely related to respiratory tract infection (RTI). Rapid and accurate detection of hRSV is urgently needed to reduce the high morbidity and mortality due to hRSV ...
Respiratory Tract Infections Humans Reverse Transcription Sensitivity and Specificity Child, Preschool Infant China Molecular Diagnostic Techniques Nucleic Acid Amplification Techniques Respiratory Syncytial Virus Infections Respiratory Syncytial Virus, Human
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Use of natural language processing to improve predictive models for imaging utilization in children presenting to the emergency department.

BMC medical informatics and decision making Dec 30, 2019
OBJECTIVE: To examine the association between the medical imaging utilization and information related to patients' socioeconomic, demographic and clinical factors during the patients' ED visits; and to develop predictive models using these associated...
Patient Acceptance of Health Care Female Triage Male Natural Language Processing Infant Child Radiography Humans Adolescent Logistic Models Emergency Service, Hospital Tomography, X-Ray Computed Child, Preschool United States Health Care Surveys Socioeconomic Factors
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Bone age determination using only the index finger: a novel approach using a convolutional neural network compared with human radiologists.

Pediatric radiology Dec 20, 2019
BACKGROUND: Recently developed convolutional neural network (CNN) models determine bone age more accurately than radiologists.
Humans Neural Networks, Computer Retrospective Studies Female Male Infant Adolescent Child, Preschool Finger Phalanges Child Image Processing, Computer-Assisted Datasets as Topic Age Determination by Skeleton
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Performance of deep learning-based algorithm for detection of ileocolic intussusception on abdominal radiographs of young children.

Scientific reports Dec 19, 2019
The purpose of this study was to develop and test the performance of a deep learning-based algorithm to detect ileocolic intussusception using abdominal radiographs of young children. For the training set, children (≤5 years old) who underwent abdomi...
Deep Learning Image Processing, Computer-Assisted Ileal Diseases Intussusception Radiography, Abdominal Humans Algorithms Retrospective Studies Infant
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Current state of science in machine learning methods for automatic infant pain evaluation using facial expression information: study protocol of a systematic review and meta-analysis.

BMJ open Dec 11, 2019
INTRODUCTION: Infants can experience pain similar to adults, and improperly controlled pain stimuli could have a long-term adverse impact on their cognitive and neurological function development. The biggest challenge of achieving good infant pain co...
Pain Measurement Systematic Reviews as Topic Meta-Analysis as Topic Facial Expression Humans Machine Learning Research Design Infant
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Prospective validation of a machine learning model that uses provider notes to identify candidates for resective epilepsy surgery.

Epilepsia Nov 29, 2019
OBJECTIVE: Delay to resective epilepsy surgery results in avoidable disease burden and increased risk of mortality. The objective was to prospectively validate a natural language processing (NLP) application that uses provider notes to assign epileps...
Adolescent Prospective Studies Humans Epilepsy Adult Machine Learning Child, Preschool Electronic Health Records Patient Selection Child Female Male Decision Support Systems, Clinical Infant, Newborn Middle Aged Natural Language Processing Young Adult Infant
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