Pediatrics

Solving olympiad geometry without human demonstrations.

Proving mathematical theorems at the olympiad level represents a notable milestone in human-level au...

Deep learning-based diagnosis of aortic dissection using an electrocardiogram: Development, validation, and clinical implications of the AADE score.

BACKGROUND: Aortic dissection (AD) is frequently associated with abnormalities in electrocardiograph...

Incidence, Determinants, and Outcome of Contrast-induced Acute Kidney Injury following Percutaneous Coronary Intervention at a Tertiary Care Hospital.

Contrast-induced acute kidney injury (CI-AKI) after percutaneous coronary intervention (PCI) is the ...

Exploring the Potential of Artificial Intelligence in Adolescent Suicide Prevention: Current Applications, Challenges, and Future Directions.

ObjectiveThe global surge in adolescent suicide necessitates the development of innovative and effic...

Advances in prosthetic technology: a perspective on ethical considerations for development and clinical translation.

Technological advancements of prostheses in recent years, such as haptic feedback, active power, and...

Comparison of hepatitis B and SARS-CoV2 vaccination rates in people who attended Drugs and Addiction Centres.

BACKGROUND AND AIMS: Persons with substance use disorder are at increased risk for hepatitis B virus...

Conversational Agents in Palliative Care: Potential Benefits, Risks, and Next Steps.

Conversational agents (sometimes called chatbots) are technology-based systems that use artificial i...

Digitalization in orthopaedics: a narrative review.

Advances in technology and digital tools like the Internet of Things (IoT), artificial intelligence ...

Role of artificial intelligence in early detection of congenital heart diseases in neonates.

In the domain of healthcare, most importantly pediatric healthcare, the role of artificial intellige...

Artificial intelligence assisted psychological well-being of generation Z.

TISBE: A Public Web Platform for the Consensus-Based Explainable Prediction of Developmental Toxicity.

Despite being extremely relevant for the protection of prenatal and neonatal health, the development...

The BONSAI (Brain and Optic Nerve Study with Artificial Intelligence) deep learning system can accurately identify pediatric papilledema on standard ocular fundus photographs.

BACKGROUND: Pediatric papilledema often reflects an underlying severe neurologic disorder and may be...

Feasibility of an artificial intelligence phone call for postoperative care following cataract surgery in a diverse population: two phase prospective study protocol.

INTRODUCTION: Artificial intelligence (AI) development has led to improvements in many areas of medi...

Antibiofilm peptides enhance the corrosion resistance of titanium in the presence of .

Titanium alloys have gained popularity in implant dentistry for the restoration of missing teeth and...

Advances in the Application of Artificial Intelligence in Fetal Echocardiography.

Congenital heart disease is a severe health risk for newborns. Early detection of abnormalities in f...

Deep learning-radiomics integrated noninvasive detection of epidermal growth factor receptor mutations in non-small cell lung cancer patients.

This study focused on a novel strategy that combines deep learning and radiomics to predict epiderma...

Combining Digital and Molecular Approaches Using Health and Alternate Data Sources in a Next-Generation Surveillance System for Anticipating Outbreaks of Pandemic Potential.

Globally, millions of lives are impacted every year by infectious diseases outbreaks. Comprehensive ...

Using real-world data to inform dosing strategies of rituximab for pediatric patients with frequent-relapsing or steroid-dependent nephrotic syndrome: a prospective pharmacokinetic-pharmacodynamic study.

Rituximab is frequently used off-label for the treatment of frequent-relapsing/steroid-dependent ne...

Graph global attention network with memory: A deep learning approach for fake news detection.

With the proliferation of social media, the detection of fake news has become a critical issue that ...

A new word embedding model integrated with medical knowledge for deep learning-based sentiment classification.

The development of intelligent systems that use social media data for decision-making processes in n...

Chinese experts' consensus on the application of intensive care big data.

The development of intensive care medicine is inseparable from the diversified monitoring data. Inte...