Pediatrics

[Pediatric oral maxillofacial management and artificial intelligence].

With the enhancement of aesthetic awareness of children's oral maxillofacial development, multi-disc...

[Intelligent intensive care unit makes medicine more accessible].

In the past half century, critical care medicine has made rapid development, and the survival rate o...

Improving flat fluorescence microscopy in scattering tissue through deep learning strategies.

Intravital microscopy in small animals growingly contributes to the visualization of short- and long...

Deep-Learning Markerless Tracking of Infant General Movements using Standard Video Recordings.

Monitoring spontaneous General Movements (GM) of infants 6-20 weeks post-term age is a reliable tool...

2D Wavelet-Scalogram Deep-Learning for Seizures Pattern Identification in the Post-Hypoxic-Ischemic EEG of Preterm Fetal Sheep.

Neonatal seizures after an hypoxic-ischemic (HI) event in preterm newborns can contribute to neural ...

Pose Tracking of Supermicrosurgical Robot Towards Multi-User Teleoperation.

This paper presents pose tracking experiments using a supermicrosurgical robot designed to consider ...

A deep learning model based on the combination of convolutional and recurrent neural networks to enhance pulse oximetry ability to classify sleep stages in children with sleep apnea.

Characterization of sleep stages is essential in the diagnosis of sleep-related disorders but relies...

Modelling and Development of a Mechanical Eye for the Evaluation of Robotic Systems for Surgery.

Ophthalmic surgery, which addresses critical eye diseases such as retinal disorders, remains a formi...

Automated Matching of Patients to Clinical Trials: A Patient-Centric Natural Language Processing Approach for Pediatric Leukemia.

PURPOSE: Matching patients to clinical trials is cumbersome and costly. Attempts have been made to a...

Reinforcement learning relieves the vaccination dilemma.

The main goal of this paper is to study how a decision-making rule for vaccination can affect epidem...

AI-generated text may have a role in evidence-based medicine.

vidence-based medicine (EBM) requires the retrieval and ranking of relevant evidence by epistemologi...

Bone age assessment from articular surface and epiphysis using deep neural networks.

Bone age assessment is of great significance to genetic diagnosis and endocrine diseases. Traditiona...

The Inverse Data Law: Market Imperatives, Data, and Quality in AI Supported Care.

Over the last decade, the explosion of "Big Data" and its fusion with AI has led many to believe tha...

Artificial Intelligence and the Future of Dentistry.

"Narrow" artificial intelligence (AI), as opposed to "general" AI, keenly focuses on a single task a...

Artificial Intelligence in Pediatric Endoscopy: Current Status and Future Applications.

The application of artificial intelligence (AI) has great promise for improving pediatric endoscopy....

Indian Pediatrics' Policy Regarding Artificial Intelligence (AI) - Enabled Large Language Models.

[Frontiers and development in live-cell super-resolution fluorescence microscopy].

This paper reviews the research progress on live-cell super-resolution fluorescence microscopy, disc...

Machine learning and deep learning systems for automated measurement of "advanced" theory of mind: Reliability and validity in children and adolescents.

Understanding individual differences in theory of mind (ToM; the ability to attribute mental states ...

Improving Methods of Identifying Anaphylaxis for Medical Product Safety Surveillance Using Natural Language Processing and Machine Learning.

We sought to determine whether machine learning and natural language processing (NLP) applied to ele...

Tracing human life trajectory using gut microbial communities by context-aware deep learning.

The gut microbial communities are highly plastic throughout life, and the human gut microbial commun...

ASAS-NANP symposium: mathematical modeling in animal nutrition: agent-based modeling for livestock systems: the mechanics of development and application.

Over the last three decades, agent-based modeling/model (ABM) has been one of the most powerful and ...