Pediatrics

A Baby Step or a Real Giant Stride: Histomic Enabled by Artificial Intelligence to Predict Treatment Response in Pediatric Patients With Ulcerative Colitis.

ChatGPT in Pediatrics: Unraveling its Significance as a Clinical Decision Support Tool.

The integration of artificial intelligence in pediatrics holds transformative potential, reshaping h...

Regional economic forecast using Elman neural networks with wavelet function.

Recently, the economy in Guangdong province has ranked first in the country, maintaining a good grow...

Intelligence Sparse Sensor Network for Automatic Early Evaluation of General Movements in Infants.

General movements (GMs) have been widely used for the early clinical evaluation of infant brain deve...

Leveraging Generative AI Tools to Support the Development of Digital Solutions in Health Care Research: Case Study.

BACKGROUND: Generative artificial intelligence has the potential to revolutionize health technology ...

Evolution in Development of a Predictive Deep-Learning Model for Total Hip Replacement Based on Radiographs: Commentary on an article by Yi Xu, MD, et al.: "Development and Validation of a Deep-Learning Model to Predict Total Hip Replacement on Radiographs. The Total Hip Replacement Prediction (THREP) Model".

Artificial Intelligence-Powered Construction of a Microbial Optimal Growth Temperature Database and Its Impact on Enzyme Optimal Temperature Prediction.

Accurate prediction of enzyme optimal temperature (Topt) is crucial for identifying enzymes suitable...

Context-dependent design of induced-fit enzymes using deep learning generates well-expressed, thermally stable and active enzymes.

The potential of engineered enzymes in industrial applications is often limited by their expression ...

Applying explainable artificial intelligence methods to models for diagnosing personal traits and cognitive abilities by social network data.

This study utilizes advanced artificial intelligence techniques to analyze the social media behavior...

High cell density cultivation of Corynebacterium glutamicum by deep learning-assisted medium design and the subsequent feeding strategy.

To improve the cell productivity of Corynebacterium glutamicum, its initial specific growth rate was...

Editorial. Occult dysraphism, spinopelvic angles, and machine learning: applying new tools to complex unsolved problems in pediatric neurosurgery.

Specific Instructions Are Important: A Cross-sectional Study on Device Parameters and Instruction Types While Walking With a Robot in Children and Adolescents.

OBJECTIVE: The aim of the study is to evaluate how gait kinematics and muscle activity during robot-...

Promises, Pitfalls, and Clinical Applications of Artificial Intelligence in Pediatrics.

Artificial intelligence (AI) broadly describes a branch of computer science focused on developing ma...

Exploring the promises and pitfalls of artificial intelligence interventions in predicting adolescent self-harm and suicide attempts.

Lesion segmentation using 3D scan and deep learning for the evaluation of facial portwine stain birthmarks.

BACKGROUND: Portwine stain (PWS) birthmarks are congenital vascular malformations. The quantificatio...

Technology driven by artificial intelligence advances professional growth and development.

Action Opportunities to Pursue Responsible Digital Care for People With Intellectual Disabilities: Qualitative Study.

BACKGROUND: Responsible digital care refers to any intentional systematic effort designed to increas...

The learning curve of robot-assisted laparoscopic pyeloplasty in children.

To explore the learning curve of robot-assisted laparoscopic pyeloplasty (RALP) in children. The cli...

Placental differences between severe fetal growth restriction and hypertensive disorders of pregnancy requiring early preterm delivery: morphometric analysis of the villous tree supported by artificial intelligence.

BACKGROUND: The great obstetrical syndromes of fetal growth restriction and hypertensive disorders o...

Reassessing acquired neonatal intestinal diseases using unsupervised machine learning.

BACKGROUND: Acquired neonatal intestinal diseases have an array of overlapping presentations and are...

Using ChatGPT-Like Solutions to Bridge the Communication Gap Between Patients With Rheumatoid Arthritis and Health Care Professionals.

The communication gap between patients and health care professionals has led to increased disputes a...