AIMC Topic: Infant
Clear Filters Showing 451 to 460 of 948 articles
Accurate diagnosis of atopic dermatitis by combining transcriptome and microbiota data with supervised machine learning.
Scientific reports
Jan 7, 2022
Atopic dermatitis (AD) is a common skin disease in childhood whose diagnosis requires expertise in dermatology. Recent studies have indicated that host genes-microbial interactions in the gut contribute to human diseases including AD. We sought to de...
Derivation of a natural language processing algorithm to identify febrile infants.
Journal of hospital medicine
Jan 4, 2022
BACKGROUND: Diagnostic codes can retrospectively identify samples of febrile infants, but sensitivity is low, resulting in many febrile infants eluding detection. To ensure study samples are representative, an improved approach is needed.
Predicting speech discrimination scores from pure-tone thresholds-A machine learning-based approach using data from 12,697 subjects.
PloS one
Dec 31, 2021
Diagnostic tests for hearing impairment not only determines the presence (or absence) of hearing loss, but also evaluates its degree and type, and provides physicians with essential data for future treatment and rehabilitation. Therefore, accurately ...
Hearing Loss
Speech Perception
Auditory Threshold
Discrimination Learning
Neural Networks, Computer
Speech Reception Threshold Test
Machine Learning
Computational Biology
Algorithms
Models, Statistical
Republic of Korea
Infant
Audiometry, Pure-Tone
Humans
Adolescent
Hearing
Female
Child, Preschool
Infant, Newborn
Child
Reproducibility of Results
Aged
Aged, 80 and over
Young Adult
Adult
Male
Middle Aged
Cohort profile: Japanese human milk study, a prospective birth cohort: baseline data for lactating women, infants and human milk macronutrients.
BMJ open
Dec 30, 2021
PURPOSE: The Japanese Human Milk Study, a longitudinal prospective cohort study, was set up to clarify how maternal health, nutritional status, lifestyle and sociodemographic and economic factors affect breastfeeding practices and human milk composit...
Automation of a Rule-based Workflow to Estimate Age from Brain MR Imaging of Infants and Children Up to 2 Years Old Using Stacked Deep Learning.
Magnetic resonance in medical sciences : MRMS : an official journal of Japan Society of Magnetic Resonance in Medicine
Dec 10, 2021
PURPOSE: Myelination-related MR signal changes in white matter are helpful for assessing normal development in infants and children. A rule-based myelination evaluation workflow regarding signal changes on T1-weighted images (T1WIs) and T2-weighted i...
Underdiagnosis bias of artificial intelligence algorithms applied to chest radiographs in under-served patient populations.
Nature medicine
Dec 10, 2021
Artificial intelligence (AI) systems have increasingly achieved expert-level performance in medical imaging applications. However, there is growing concern that such AI systems may reflect and amplify human bias, and reduce the quality of their perfo...
A brain extraction algorithm for infant T2 weighted magnetic resonance images based on fuzzy c-means thresholding.
Scientific reports
Dec 2, 2021
It is challenging to extract the brain region from T2-weighted magnetic resonance infant brain images because conventional brain segmentation algorithms are generally optimized for adult brain images, which have different spatial resolution, dynamic ...
Application of information theoretic feature selection and machine learning methods for the development of genetic risk prediction models.
Scientific reports
Dec 2, 2021
In view of the growth of clinical risk prediction models using genetic data, there is an increasing need for studies that use appropriate methods to select the optimum number of features from a large number of genetic variants with a high degree of r...
Esophageal discoid foreign body detection and classification using artificial intelligence.
Pediatric radiology
Dec 1, 2021
BACKGROUND: Early and accurate radiographic diagnosis is required for the management of children with radio-opaque esophageal foreign bodies. Button batteries are some of the most dangerous esophageal foreign bodies and coins are among the most commo...
Towards human-level performance on automatic pose estimation of infant spontaneous movements.
Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society
Nov 26, 2021
Assessment of spontaneous movements can predict the long-term developmental disorders in high-risk infants. In order to develop algorithms for automated prediction of later disorders, highly precise localization of segments and joints by infant pose ...
Stay Ahead of Medical AI
Join thousands of healthcare professionals staying informed about the latest AI breakthroughs in medicine. Get curated insights delivered to your inbox.
Subscribe NowPopular Topics
- Machine Learning 31261
- Neural Networks, Computer 29817
- Algorithms 26965
- Deep Learning 26491
- Artificial Intelligence 24413
- Robotics 13329
- Image Processing, Computer-Assisted 9578
- Retrospective Studies 9155
- Magnetic Resonance Imaging 6213
- Reproducibility of Results 5605
- Tomography, X-Ray Computed 4792
- Support Vector Machine 4705
- Computational Biology 4266
- Brain 4057
- Computer Simulation 3891
Recent Journals
- Scientific reports 6215
- Sensors (Basel, Switzerland) 4794
- PloS one 4077
- Neural networks : the official journal of the International Neural Network Society 2930
- Computational intelligence and neuroscience 1931
- Computers in biology and medicine 1868
- Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference 1686
- Studies in health technology and informatics 1278
- IEEE journal of biomedical and health informatics 1144
- Journal of chemical information and modeling 1019
- Nature communications 971
- Computer methods and programs in biomedicine 883
- Bioinformatics (Oxford, England) 863
- Briefings in bioinformatics 853
- IEEE transactions on neural networks and learning systems 831