Pediatrics

Latest AI and machine learning research in pediatrics for healthcare professionals.

6,554 articles
Stay Ahead - Weekly Pediatrics research updates
Subscribe
Browse Categories
Showing 3046-3066 of 6,554 articles
The influence of machine learning-based knowledge management model on enterprise organizational capability innovation and industrial development.

The aims are to explore the construction of the knowledge management model for engineering cost cons...

Multimodal spatio-temporal deep learning approach for neonatal postoperative pain assessment.

The current practice for assessing neonatal postoperative pain relies on bedside caregivers. This pr...

Training confounder-free deep learning models for medical applications.

The presence of confounding effects (or biases) is one of the most critical challenges in using deep...

Challenges in the Development, Deployment, and Regulation of Artificial Intelligence in Anatomic Pathology.

Significant advances in artificial intelligence (AI), deep learning, and other machine-learning appr...

Development challenges of high concentration monoclonal antibody formulations.

High concentration monoclonal antibody drug products represent a special segment of biopharmaceutica...

Deep learning enabled prediction of 5-year survival in pediatric genitourinary rhabdomyosarcoma.

BACKGROUND: Genitourinary rhabdomyosarcoma (GU-RMS) is a rare, pediatric malignancy originating from...

Development of a light-weight deep learning model for cloud applications and remote diagnosis of skin cancers.

Skin cancer is among the 10 most common cancers. Recent research revealed the superiority of artific...

Automatic eye localization for hospitalized infants and children using convolutional neural networks.

BACKGROUND: Reliable localization and tracking of the eye region in the pediatric hospital environme...

On the use of AI for Generation of Functional Music to Improve Mental Health.

Increasingly music has been shown to have both physical and mental health benefits including improve...

Identification of prognostic factors for pediatric myocarditis with a random forests algorithm-assisted approach.

BACKGROUND: Pediatric myocarditis is a rare disease with substantial mortality. Little is known rega...

Improving Image Quality and Reducing Radiation Dose for Pediatric CT by Using Deep Learning Reconstruction.

Background CT deep learning reconstruction (DLR) algorithms have been developed to remove image nois...

COVID-19 Surveillance in a Primary Care Sentinel Network: In-Pandemic Development of an Application Ontology.

BACKGROUND: Creating an ontology for COVID-19 surveillance should help ensure transparency and consi...

Development and utility assessment of a machine learning bloodstream infection classifier in pediatric patients receiving cancer treatments.

BACKGROUND: Objectives were to build a machine learning algorithm to identify bloodstream infection ...

Reliable or not? An automated classification of webpages about early childhood vaccination using supervised machine learning.

OBJECTIVE: To investigate the applicability of supervised machine learning (SML) to classify health-...

Prognostic Assessment of COVID-19 in the Intensive Care Unit by Machine Learning Methods: Model Development and Validation.

BACKGROUND: Patients with COVID-19 in the intensive care unit (ICU) have a high mortality rate, and ...

Closing the Digital Health Evidence Gap: Development of a Predictive Score to Maximize Patient Outcomes.

Clinical studies of telemedicine (TM) programs for chronic illness have demonstrated mixed results ...

The Growth Kinetics of Collision Nodal Metastasis from Medullary and Papillary Thyroid Carcinomas: A Case Report.

INTRODUCTION: The collision of medullary (MTC) and papillary thyroid carcinoma (PTC) in the same cer...

An Argument for an Ecosystemic AI: Articulating Connections across Prehuman and Posthuman Intelligences.

As an art collective Cesar & Lois develops projects that examine sociotechnical systems, attempting ...

The role of artificial intelligence in cosmetic dermatology-Current, upcoming, and future trends.

Within the field of cosmetic dermatology, several promising developments utilize artificial intellig...

Browse Categories