Pediatrics

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

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DeepAVP-TPPred: identification of antiviral peptides using transformed image-based localized descriptors and binary tree growth algorithm.

MOTIVATION: Despite the extensive manufacturing of antiviral drugs and vaccination, viral infections...

Role of artificial intelligence in multiple sclerosis management.

From a clinical viewpoint, there are enormous obstacles to early detection and diagnosis as well as ...

Evaluating the Robustness of a Deep Learning Bone Age Algorithm to Clinical Image Variation Using Computational Stress Testing.

Purpose To evaluate the robustness of an award-winning bone age deep learning (DL) model to extensiv...

Symbiosis of Technology and Ethics: Preliminary Results of an Inquiry into the Moral Dimensions in the Use of Robotic Systems in Patient Care.

The present study aims to describe ethical and social requirements for technical and robotic systems...

Adolescents and Children Age Estimation Using Machine Learning Based on Pulp and Tooth Volumes on CBCT Images.

OBJECTIVES: To estimate adolescents and children age using stepwise regression and machine learning ...

Dental Age Estimation in Northern Chinese Han Children and Adolescents Using Demirjian's Method Combined with Machine Learning Algorithms.

OBJECTIVES: To investigate the application value of combining the Demirjian's method with machine le...

Estimation of racial and language disparities in pediatric emergency department triage using statistical modeling and natural language processing.

OBJECTIVES: The study aims to assess racial and language disparities in pediatric emergency departme...

Artificial intelligence in wound care: diagnosis, assessment and treatment of hard-to-heal wounds: a narrative review.

The effective assessment of wounds, both acute and hard-to-heal, is an important component in the de...

Lower Extremity Growth according to AI Automated Femorotibial Length Measurement on Slot-Scanning Radiographs in Pediatric Patients.

Background Commonly used pediatric lower extremity growth standards are based on small, dated data s...

[The Generative Artificial Intelligence Revolution in Nursing: A New Chapter in Enhancing Care Quality and Education].

Artificial intelligence (AI) represents a recent major breakthrough in technology development and, i...

Deep Learning-Augmented ECG Analysis for Screening and Genotype Prediction of Congenital Long QT Syndrome.

IMPORTANCE: Congenital long QT syndrome (LQTS) is associated with syncope, ventricular arrhythmias, ...

Development and Validation of an Automated Classifier to Diagnose Acute Otitis Media in Children.

IMPORTANCE: Acute otitis media (AOM) is a frequently diagnosed illness in children, yet the accuracy...

[Development and Application of Deep Learning-Based Model for Quality Control of Children Pelvic X-Ray Images].

OBJECTIVE: A deep learning-based method for evaluating the quality of pediatric pelvic X-ray images ...

[Application of Deep Learning to Diagnose and Classify Adolescent Idiopathic Scoliosis].

A deep learning-based model for automatic diagnosis and classification of adolescent idiopathic scol...

From tradition to innovation: conventional and deep learning frameworks in genome annotation.

Following the milestone success of the Human Genome Project, the 'Encyclopedia of DNA Elements (ENCO...

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