Pediatrics

Review of Machine Learning and Artificial Intelligence (ML/AI) for the Pediatric Neurologist.

Artificial intelligence (AI) and a popular branch of AI known as machine learning (ML) are increasin...

Deep learning prediction of diffusion MRI data with microstructure-sensitive loss functions.

Deep learning prediction of diffusion MRI (DMRI) data relies on the utilization of effective loss fu...

Research on the development trend, evolution, and spatial local characteristics of the intelligent smart medical industry in the Yangtze River Economic Belt.

A comprehensive survey of the development trends, trend evolution, and spatial non-equilibrium chara...

Comparison of the Physical Care Burden on Formal Caregivers between Manual Human Care Using a Paper Diaper and Robot-Aided Care in Excretion Care.

Although the older population has been rapidly growing, the availability of formal caregivers remain...

PhenoBot: an automated system for leaf area analysis using deep learning.

A low-cost dynamic image capturing and analysis pipeline using color-based deep learning segmentatio...

The effect of the pandemic on European narratives on smart cities and surveillance.

This article presents an analysis of European smart city narratives and how they evolved under the p...

AAPM task group report 273: Recommendations on best practices for AI and machine learning for computer-aided diagnosis in medical imaging.

Rapid advances in artificial intelligence (AI) and machine learning, and specifically in deep learni...

Deep Learning-Based Multiclass Brain Tissue Segmentation in Fetal MRIs.

Fetal brain tissue segmentation is essential for quantifying the presence of congenital disorders in...

Hospital crowdedness evaluation and in-hospital resource allocation based on image recognition technology.

How to allocate the existing medical resources reasonably, alleviate hospital congestion and improve...

Early experience with low-pass filtered images facilitates visual category learning in a neural network model.

Humans are born with very low contrast sensitivity, meaning that inputs to the infant visual system ...

Ethical considerations of using artificial intelligence to drive clinical decision support in pediatric medical settings.

Development and Validation of a Deep Learning Algorithm to Differentiate Colon Carcinoma From Acute Diverticulitis in Computed Tomography Images.

IMPORTANCE: Differentiating between malignant and benign etiology in large-bowel wall thickening on ...

Development of a Machine Learning Model for Sonographic Assessment of Gestational Age.

IMPORTANCE: Fetal ultrasonography is essential for confirmation of gestational age (GA), and accurat...

Artificial intelligence-driven wearable technologies for neonatal cardiorespiratory monitoring: Part 1 wearable technology.

With the development of Artificial Intelligence techniques, smart health monitoring is becoming more...

Explainable Machine Learning Model to Predict COVID-19 Severity Among Older Adults in the Province of Quebec.

Context: Patients over the age of 65 years are more likely to experience higher severity and mortali...

Considerations for Creating a Restricted Data Environment with Complete Primary Care Electronic Medical Record Data.

Background: Historically, primary care databases have been limited to subsets of the full electronic...

High throughput optimization of medium composition for Escherichia coli protein expression using deep learning and Bayesian optimization.

To improve synthetic media for protein expression in Escherichia coli, a strategy using deep neural ...

Deep Learning on Multiphysical Features and Hemodynamic Modeling for Abdominal Aortic Aneurysm Growth Prediction.

Prediction of abdominal aortic aneurysm (AAA) growth is of essential importance for the early treatm...

Painless and accurate medical image analysis using deep reinforcement learning with task-oriented homogenized automatic pre-processing.

Pre-processing is widely applied in medical image analysis to remove the interference information. H...

An accurate deep learning model for wheezing in children using real world data.

Auscultation is an important diagnostic method for lung diseases. However, it is a subjective modali...

Accuracy of computer-assisted pedicle screw placement for adolescent idiopathic scoliosis: a comparison between robotics and navigation.

PURPOSE: To compare the accuracy of pedicle screw placement in adolescent idiopathic scoliosis (AIS)...