A systematic literature review on deep learning approaches for pneumonia detection using chest X-ray images
Abstract As per World Health Organization, in 2019, 2.5 million deaths were reported due to
pneumonia, of which 14% were observed among children between 0–5 years of age. Due to …
pneumonia, of which 14% were observed among children between 0–5 years of age. Due to …
Artificial intelligence-based clinical decision support in pediatrics
Abstract Machine learning models may be integrated into clinical decision support (CDS)
systems to identify children at risk of specific diagnoses or clinical deterioration to provide …
systems to identify children at risk of specific diagnoses or clinical deterioration to provide …
The unintended consequences of artificial intelligence in paediatric radiology
Over the past decade, there has been a dramatic rise in the interest relating to the
application of artificial intelligence (AI) in radiology. Originally only 'narrow'AI tasks were …
application of artificial intelligence (AI) in radiology. Originally only 'narrow'AI tasks were …
Artificial intelligence and pediatrics: synthetic knowledge synthesis
The first publication on the use of artificial intelligence (AI) in pediatrics dates back to 1984.
Since then, research on AI in pediatrics has become much more popular, and the number of …
Since then, research on AI in pediatrics has become much more popular, and the number of …
Applications of deep learning for drug discovery systems with bigdata
Y Matsuzaka, R Yashiro - BioMedInformatics, 2022 - mdpi.com
The adoption of “artificial intelligence (AI) in drug discovery”, where AI is used in the process
of pharmaceutical research and development, is progressing. By using the ability to process …
of pharmaceutical research and development, is progressing. By using the ability to process …
A novel deep learning-based approach for prediction of neonatal respiratory disorders from chest X-ray images
AE Yildirim, M Canayaz - Biocybernetics and Biomedical Engineering, 2023 - Elsevier
In recent years, many diseases can be diagnosed in a short time with the use of deep
learning models in the field of medicine. Most of the studies in this area focus on adult or …
learning models in the field of medicine. Most of the studies in this area focus on adult or …
Applying artificial intelligence to pediatric chest imaging: reliability of leveraging adult-based artificial intelligence models
G Morcos, HY Paul, J Jeudy - Journal of the American College of Radiology, 2023 - Elsevier
Objective The scarcity of artificial intelligence (AI) applications designed for use in pediatric
patients can cause a significant health disparity in this vulnerable population. We …
patients can cause a significant health disparity in this vulnerable population. We …
Residual networks models detection of atrial septal defect from chest radiographs
G Luo, Z Li, W Ge, Z Ji, S Qiao, S Pan - La radiologia medica, 2024 - Springer
Object The purpose of this study was to explore a machine learning-based residual
networks (ResNets) model to detect atrial septal defect (ASD) on chest radiographs …
networks (ResNets) model to detect atrial septal defect (ASD) on chest radiographs …
The development of a novel natural language processing tool to identify pediatric chest radiograph reports with pneumonia
Objective Chest radiographs are frequently used to diagnose community-acquired
pneumonia (CAP) for children in the acute care setting. Natural language processing (NLP) …
pneumonia (CAP) for children in the acute care setting. Natural language processing (NLP) …
[HTML][HTML] Three-Stage Framework for Accurate Pediatric Chest X-ray Diagnosis Using Self-Supervision and Transfer Learning on Small Datasets
Pediatric respiratory disease diagnosis and subsequent treatment require accurate and
interpretable analysis. A chest X-ray is the most cost-effective and rapid method for …
interpretable analysis. A chest X-ray is the most cost-effective and rapid method for …