Pediatrics

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

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GUESS: projecting machine learning scores to well-calibrated probability estimates for clinical decision-making.

MOTIVATION: Clinical decision support systems have been applied in numerous fields, ranging from can...

Skeletal bone age assessments for young children based on regression convolutional neural networks.

Pediatricians and pediatric endocrinologists utilize Bone Age Assessment (BAA) for in-vestigations p...

Some Thoughts on Extended Collaboration of Entities with Natural and with Artificial Intelligence in Health Care and Beyond.

This lecture is dealing with new, future forms of collaboration and with its (hopefully existing) ex...

A deep learning technique for imputing missing healthcare data.

Missing data is a frequent occurrence in medical and health datasets. The analysis of datasets with ...

Automatic and Continuous Discomfort Detection for Premature Infants in a NICU Using Video-Based Motion Analysis.

Frequent pain and discomfort in premature infants can lead to long-term adverse neurodevelopmental o...

CLPNet: Cleft Lip and Palate Surgery Support With Deep Learning.

Cleft lip and palate is the most common congenital malformation in oral and maxillofacial region. As...

Convolutional Neural Networks to Detect Pediatric Apnea-Hypopnea Events from Oximetry.

Pediatric sleep apnea-hypopnea syndrome (SAHS) is a highly prevalent breathing disorder that is rela...

Visualized Evidences for Detecting Novelty in Myoelectric Pattern Recognition using 3D Convolutional Neural Networks.

Although myoelectric pattern recognition (MPR) has been considered as a milestone technique to enabl...

Social Robots for Hospitalized Children.

BACKGROUND AND OBJECTIVES: Social robots (SRs) are increasingly present in medical and educational c...

Comparison of Machine Learning Optimal Classification Trees With the Pediatric Emergency Care Applied Research Network Head Trauma Decision Rules.

IMPORTANCE: Computed tomographic (CT) scanning is the standard for the rapid diagnosis of intracrani...

Development of Machine Learning Algorithms for Prediction of 30-Day Mortality After Surgery for Spinal Metastasis.

BACKGROUND: Preoperative prognostication of short-term postoperative mortality in patients with spin...

Treatment Potential for Macular Cone Vision in Leber Congenital Amaurosis Due to CEP290 or NPHP5 Mutations: Predictions From Artificial Intelligence.

PURPOSE: To use supervised machine learning to predict visual function from retinal structure in ret...

Advocating for Safe, Quality and Just Care: What Nursing Leaders Need to Know about Artificial Intelligence in Healthcare Delivery.

The rapid integration of artificial intelligence (AI) into healthcare delivery has not only provided...

Designing and Evaluating the Face of Lil'Flo: an Affordable Social Rehabilitation Robot.

We introduce Lil'Flo, an affordable robot for pediatric upper extremity rehabilitation. We present t...

Development of a "transparent operation mode" for a lower-limb exoskeleton designed for children with cerebral palsy.

Robot-assisted rehabilitation in children and young adults with Cerebral Palsy (CP) is expected to l...

A Machine Learning Strategy for Autism Screening in Toddlers.

OBJECTIVE: Autism spectrum disorder (ASD) screening can improve prognosis via early diagnosis and in...

Applications of machine learning in drug discovery and development.

Drug discovery and development pipelines are long, complex and depend on numerous factors. Machine l...

A photometric stereo-based 3D imaging system using computer vision and deep learning for tracking plant growth.

BACKGROUND: Tracking and predicting the growth performance of plants in different environments is cr...

Socially Assistive Robots for Helping Pediatric Distress and Pain: A Review of Current Evidence and Recommendations for Future Research and Practice.

OBJECTIVES: Interacting with socially assistive robots (SAR) has been shown to influence human behav...

Fusing autonomy and sociality via embodied emergence and development of behaviour and cognition from fetal period.

Human-centred AI/Robotics are quickly becoming important. Their core claim is that AI systems or rob...

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