Pediatrics

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

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Hypothesis: Net benefit as an objective function during development of machine learning algorithms for medical applications.

Net benefit is the most widely used metric for evaluating the clinical utility of medical prediction...

Feasibility study of texture-based machine learning approach for early detection of neonatal jaundice.

Untreated neonatal jaundice can have severe consequences. Effective screening for neonatal jaundice ...

Enhanced recognition and counting of high-coverage Amorphophallus konjac by integrating UAV RGB imagery and deep learning.

Accurate counting of Amorphophallus konjac (Konjac) plants can offer valuable insights for agricultu...

Impact of deep learning on pediatric elbow fracture detection: a systematic review and meta-analysis.

OBJECTIVES: Pediatric elbow fractures are a common injury among children. Recent advancements in art...

SegFormer3D: Improving the Robustness of Deep Learning Model-Based Image Segmentation in Ultrasound Volumes of the Pediatric Hip.

Developmental dysplasia of the hip (DDH) is a painful orthopedic malformation diagnosed at birth in ...

Artificial Intelligence non-invasive methods for neonatal jaundice detection: A review.

Neonatal jaundice is a common and potentially fatal health condition in neonates, especially in low ...

Predicting PTSD development with early post-trauma assessments: a proof-of-concept for a concise tree-based classification method.

Approximately 70% of individuals globally experience at least one traumatic event in their lifetime...

AI for glaucoma, Are we reporting well? a systematic literature review of DECIDE-AI checklist adherence.

BACKGROUND/OBJECTIVES: This systematic literature review examines the quality of early clinical eval...

Machine learning insights into calcium phosphate nucleation and aggregation.

In this study, we utilized machine learning interatomic potentials (MLIPs) to investigate the nuclea...

AI-facilitated home monitoring for cystic fibrosis exacerbations across pediatric and adult populations.

BACKGROUND: AI-aided home stethoscopes offer the opportunity of continuous remote monitoring of cyst...

Predicting mother and newborn skin-to-skin contact using a machine learning approach.

BACKGROUND: Despite the known benefits of skin-to-skin contact (SSC), limited data exists on its imp...

The development of an artificial intelligence auto-segmentation tool for 3D volumetric analysis of vestibular schwannomas.

Linear and volumetric analysis are the typical methods to measure tumor size. 3D volumetric analysis...

Development and validation of interpretable machine learning models for triage patients admitted to the intensive care unit.

OBJECTIVES: Developing and validating interpretable machine learning (ML) models for predicting whet...

Artificial intelligence for the diagnosis of pediatric appendicitis: A systematic review.

BACKGROUND: While acute appendicitis is the most frequent surgical emergency in children, its diagno...

Artificial Intelligence in Commercial Industry: Serving the End-to-End Patient Experience Across the Digital Ecosystem.

The purpose of this article is to evaluate the application of artificial intelligence (AI) from the ...

Application of deep learning for evaluation of the growth rate of Daphnia magna.

For the safe use of chemicals widely used in human activities, it is crucial to assess their ecologi...

Elevating Research and Careers in the Development of Safer Drugs through Artificial Intelligence.

The session "Elevating Research and Careers in the Development of Safer Drugs through Artificial Int...

Effectiveness of social robots in improving psychological well-being of hospitalised children: A systematic review and meta-analysis.

AIM: To evaluate the effectiveness of social robots in reducing pain, stress, and anxiety among hosp...

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