Pediatrics

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

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"Human vs Machine" Validation of a Deep Learning Algorithm for Pediatric Middle Ear Infection Diagnosis.

OBJECTIVE: We compared the diagnostic performance of human clinicians with that of a neural network ...

Direct machine learning reconstruction of respiratory variation waveforms from resting state fMRI data in a pediatric population.

In many functional magnetic resonance imaging (fMRI) studies, respiratory signals are unavailable or...

Utilization of robotics in pediatric surgical oncology.

Despite increasing implementation of robotic surgery and minimally invasive techniques within adult ...

Pediatric robotic surgery: An overview.

Pediatric robotic surgery offers children a minimally invasive approach with numerous advantages ove...

Early detection of visual impairment in young children using a smartphone-based deep learning system.

Early detection of visual impairment is crucial but is frequently missed in young children, who are ...

DNA Origami Nanostructure Detection and Yield Estimation Using Deep Learning.

DNA origami is a milestone in DNA nanotechnology. It is robust and efficient in constructing arbitra...

Application of Artificial Intelligence in Anatomical Structure Recognition of Standard Section of Fetal Heart.

Congenital heart defect (CHD) refers to the overall structural abnormality of the heart or large blo...

Adverse Events and Morbidity in a Multidisciplinary Pediatric Robotic Surgery Program. A prospective, Observational Study.

OBJECTIVE: To report one-year morbidity of robotic-assisted laparoscopic surgery (RALS) in a dedicat...

An automated, low volume, and high-throughput analytical platform for aggregate quantitation from cell culture media.

High throughput screening methods have driven a paradigm shift in biopharmaceutical development by r...

The Relationship of Artificial Intelligence Opportunity Perception and Employee Workplace Well-Being: A Moderated Mediation Model.

Several previous studies have revealed a positive relationship between artificial intelligence (AI) ...

Use of machine learning in pediatric surgical clinical prediction tools: A systematic review.

PURPOSE: Clinical prediction tools (CPTs) are decision-making instruments utilizing patient data to ...

Detecting pediatric wrist fractures using deep-learning-based object detection.

BACKGROUND: Missed fractures are the leading cause of diagnostic error in the emergency department, ...

Computational and artificial intelligence-based methods for antibody development.

Due to their high target specificity and binding affinity, therapeutic antibodies are currently the ...

Development of a Digital Platform: A Perspective to Advance Space Telepharmacy.

: Lessons learned from decades of human spaceflight have helped advance the delivery of healthcare i...

[Artificial intelligence and ethics in healthcare-balancing act or symbiosis?].

Artificial intelligence (AI) is becoming increasingly important in healthcare. This development trig...

Deep learning-based prediction of mandibular growth trend in children with anterior crossbite using cephalometric radiographs.

BACKGROUND: It is difficult for orthodontists to accurately predict the growth trend of the mandible...

A Bibliometric Analysis of Artificial Intelligence Applications in Spine Care.

BACKGROUND:  With the rapid development of science and technology, artificial intelligence (AI) has ...

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