AIMC Topic: Pediatrics
Clear Filters Showing 51 to 60 of 113 articles
Bias In, Bias Out: Ethical Considerations for the Application of Machine Learning in Pediatrics.
The Journal of pediatrics
Feb 2, 2022
Machine learning model for early prediction of acute kidney injury (AKI) in pediatric critical care.
Critical care (London, England)
Aug 10, 2021
BACKGROUND: Acute kidney injury (AKI) in pediatric critical care patients is diagnosed using elevated serum creatinine, which occurs only after kidney impairment. There are no treatments other than supportive care for AKI once it has developed, so it...
Ensuring Adequate Development and Appropriate Use of Artificial Intelligence in Pediatric Medical Imaging.
AJR. American journal of roentgenology
Jul 28, 2021
Of over 100 FDA-cleared artificial intelligence (AI) tools for triage, detection, or diagnosis in medical imaging, only one is cleared for use in children. Thus, children may be unable to benefit from the advances that AI provides to adults. Furtherm...
Future of machine learning in paediatrics.
Archives of disease in childhood
Jul 22, 2021
Machine learning (ML) is a branch of artificial intelligence (AI) that enables computers to learn without being explicitly programmed, through a combination of statistics and computer science. It encompasses a variety of techniques used to analyse an...
Data-driven approaches to advance research and clinical care for pediatric cancer.
Biochimica et biophysica acta. Reviews on cancer
May 26, 2021
Pediatric cancer is a rare disease with a distinct etiology and mutational landscape compared with adult cancer. Multi-omics profiling of retrospective and prospective cohorts coupled with innovative computational analysis have been instrumental in u...
Classification of paediatric brain tumours by diffusion weighted imaging and machine learning.
Scientific reports
Feb 4, 2021
To determine if apparent diffusion coefficients (ADC) can discriminate between posterior fossa brain tumours on a multicentre basis. A total of 124 paediatric patients with posterior fossa tumours (including 55 Medulloblastomas, 36 Pilocytic Astrocyt...
Natural Language Processing and Machine Learning to Enable Clinical Decision Support for Treatment of Pediatric Pneumonia.
AMIA ... Annual Symposium proceedings. AMIA Symposium
Jan 25, 2021
Pneumonia is the most frequent cause of infectious disease-related deaths in children worldwide. Clinical decision support (CDS) applications can guide appropriate treatment, but the system must first recognize the appropriate diagnosis. To enable CD...
Perspectives of Child Life Specialists After Many Years of Working With a Humanoid Robot in a Pediatric Hospital: Narrative Design.
Journal of medical Internet research
Nov 19, 2020
BACKGROUND: Child life specialists (CLSs) play an important role in supporting patients and their families during their visits to a children's hospital. Although CLSs are equipped with considerable expertise to support families during some of the mos...
Improving Image Quality and Reducing Radiation Dose for Pediatric CT by Using Deep Learning Reconstruction.
Radiology
Nov 17, 2020
Background CT deep learning reconstruction (DLR) algorithms have been developed to remove image noise. How the DLR affects image quality and radiation dose reduction has yet to be fully investigated. Purpose To investigate a DLR algorithm's dose redu...
Quality Improvement
Pediatrics
Radiation Dosage
Hepatic Veins
Mesenteric Artery, Superior
Common Bile Duct
Azygos Vein
Retrospective Studies
Adolescent
Adult
Tomography, X-Ray Computed
Child, Preschool
Male
Female
Child
Deep Learning
Young Adult
Humans
Radiographic Image Interpretation, Computer-Assisted
Important Tools for Use by Pediatric Endocrinologists in the Assessment of Short Stature.
Journal of clinical research in pediatric endocrinology
Oct 2, 2020
Assessment and management of children with growth failure has improved greatly over recent years. However, there remains a strong potential for further improvements by using novel digital techniques. A panel of experts discussed developments in digit...
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 32021
- Neural Networks, Computer 30231
- Algorithms 27405
- Deep Learning 26912
- Artificial Intelligence 24844
- Robotics 13389
- Image Processing, Computer-Assisted 9738
- Retrospective Studies 9346
- Magnetic Resonance Imaging 6347
- Reproducibility of Results 5670
- Tomography, X-Ray Computed 4866
- Support Vector Machine 4771
- Computational Biology 4333
- Brain 4129
- Computer Simulation 3935
Recent Journals
- Scientific reports 6800
- Sensors (Basel, Switzerland) 4794
- PloS one 4210
- Neural networks : the official journal of the International Neural Network Society 3026
- Computational intelligence and neuroscience 1931
- Computers in biology and medicine 1916
- 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 1378
- IEEE journal of biomedical and health informatics 1172
- Journal of chemical information and modeling 1066
- Nature communications 1047
- Computer methods and programs in biomedicine 883
- Bioinformatics (Oxford, England) 874
- Journal of medical Internet research 864
- Briefings in bioinformatics 853