Pediatrics

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

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The Impact of the Integrated Development of AI and Energy Industry on Regional Energy Industry: A Case of China.

With the advent of the Energy 4.0 era, the adoption of "Internet + artificial intelligence" systems ...

Ethical impact of suboptimal referrals on delivery of care in radiology department.

The referral is the key source of information that enables radiologists and radiographers to provide...

Cancer survivorship care and general practice: A qualitative study of roles of general practice team members in Australia.

Primary care providers, including general practice teams (GPTs), are well positioned within the comm...

Detection of hypertrophic cardiomyopathy by an artificial intelligence electrocardiogram in children and adolescents.

BACKGROUND: There is no established screening approach for hypertrophic cardiomyopathy (HCM). We rec...

Prediction Algorithm of Young Students' Physical Health Risk Factors Based on Deep Learning.

Young people's physical and mental health is the foundation of society's overall development and the...

Predicting pediatric anxiety from the temporal pole using neural responses to emotional faces.

A prominent cognitive aspect of anxiety is dysregulation of emotional interpretation of facial expre...

An Audit of Robot-Assisted Minimally Invasive Surgeries in Children: Early Experience from a Tertiary Care Center in India.

Over the last decade, a significant rise in pediatric robot-assisted minimally invasive surgeries h...

Machine learning in medicine: It has arrived, let's embrace it.

Machine learning and artificial intelligence (AI) have arrived in medicine and the healthcare commun...

Robotic Assay for Drought (RoAD): an automated phenotyping system for brassinosteroid and drought responses.

Brassinosteroids (BRs) are a group of plant steroid hormones involved in regulating growth, developm...

Machine learning model for early prediction of acute kidney injury (AKI) in pediatric critical care.

BACKGROUND: Acute kidney injury (AKI) in pediatric critical care patients is diagnosed using elevate...

Machine Learning Approach for Active Vaccine Safety Monitoring.

BACKGROUND: Vaccine safety surveillance is important because it is related to vaccine hesitancy, whi...

Machine learning-based identification and characterization of 15 novel pathogenic SUOX missense mutations.

Isolated sulfite oxidase deficiency (ISOD) is a rare hereditary metabolic disease caused by absence ...

Hybrid Machine Learning Models for Predicting Types of Human T-cell Lymphotropic Virus.

Life threatening diseases like adult T-cell leukemia, neurodegenerative diseases, and demyelinating ...

Artificial Intelligence and the Future of Diagnostic and Therapeutic Radiopharmaceutical Development:: In Silico Smart Molecular Design.

Novel diagnostic and therapeutic radiopharmaceuticals are increasingly becoming a central part of pe...

Future roles of artificial intelligence in early pain management of newborns.

The advent of increasingly sophisticated medical technology, surgical interventions, and supportive ...

Imputation of the continuous arterial line blood pressure waveform from non-invasive measurements using deep learning.

In two-thirds of intensive care unit (ICU) patients and 90% of surgical patients, arterial blood pre...

Artificial Intelligence in Dermatology: A Threat or an Opportunity?

The worldwide explosion of interest in artificial intelligence (AI) has created a before-and-after m...

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