Pediatrics

Digital pathology systems enabling quality patient care.

Pathology laboratories are undergoing digital transformations, adopting innovative technologies to e...

Unsupervised abnormality detection in neonatal MRI brain scans using deep learning.

Analysis of 3D medical imaging data has been a large topic of focus in the area of Machine Learning/...

Establishment of a successful robotic pediatric general surgery practice.

Robotic-assisted surgery (RAS) has a variety of theoretical advantages, including tremor filtration,...

Patient Perspectives on Artificial Intelligence in Radiology.

There are two major areas for patient engagement in radiology artificial intelligence (AI). One is i...

Artificial intelligence in the neonatal intensive care unit: the time is now.

Artificial intelligence (AI) has the potential to revolutionize the neonatal intensive care unit (NI...

Pediatric Injury Surveillance From Uncoded Emergency Department Admission Records in Italy: Machine Learning-Based Text-Mining Approach.

BACKGROUND: Unintentional injury is the leading cause of death in young children. Emergency departme...

Virtual agents and risk-taking behavior in adolescence: the twofold nature of nudging.

Peer pressure can influence risk-taking behavior and it is particularly felt during adolescence. Wit...

The safe introduction of robotic surgery in a free-standing children's hospital.

The aim of this study is to report the experience of implementing a pediatric robotic surgery progra...

Hybrid Recommender System for Mental Illness Detection in Social Media Using Deep Learning Techniques.

Recommender systems are chiefly renowned for their applicability in e-commerce sites and social medi...

Focus Issue on Artificial Intelligence in Pediatric Radiology: The TRY-Angle Approach.

Efficient reduction of Cr(VI) by guava (Psidium guajava) leaf extract and its mitigation effect on Cr toxicity in rice seedlings.

Hexavalent chromium (Cr(VI)) is a toxic element that has negative impacts on crop growth and yield. ...

Applications of artificial intelligence in magnetic resonance imaging of primary pediatric cancers: a scoping review and CLAIM score assessment.

PURPOSES: To review the uses of AI for magnetic resonance (MR) imaging assessment of primary pediatr...

An FDA Guide on Indications for Use and Device Reporting of Artificial Intelligence-Enabled Devices: Significance for Pediatric Use.

Radiology has been a pioneer in adopting artificial intelligence (AI)-enabled devices into the clini...

Commercially Available Artificial Intelligence Algorithms of Interest to Pediatric Radiology: The Growing Gap Between Potential Use and Data Training.

Examining the Prevailing Negative Sentiments Surrounding Measles Vaccination: Unsupervised Deep Learning of Twitter Posts from 2017 to 2022.

Despite the proven safety and clinical efficacy of the Measles vaccine, many countries are seeing ne...

Integrating Artificial Intelligence and Wearable IoT System in Long-Term Care Environments.

With the rapid advancement of information and communication technology (ICT), big data, and artifici...

Node-Loss Detection Methods for CZ Silicon Single Crystal Based on Multimodal Data Fusion.

Monocrystalline silicon is an important raw material in the semiconductor and photovoltaic industrie...

The ChatGPT (Generative Artificial Intelligence) Revolution Has Made Artificial Intelligence Approachable for Medical Professionals.

In November 2022, OpenAI publicly launched its large language model (LLM), ChatGPT, and reached the ...

Digital Education for the Deployment of Artificial Intelligence in Health Care.

Artificial Intelligence (AI) represents a significant milestone in health care's digital transformat...

Deep-learning approach to detect childhood glaucoma based on periocular photograph.

Childhood glaucoma is one of the major causes of blindness in children, however, its diagnosis is of...

Optimal Combination of Mother Wavelet and AI Model for Precise Classification of Pediatric Electroretinogram Signals.

The continuous advancements in healthcare technology have empowered the discovery, diagnosis, and pr...