Pediatrics

Mental Health Issues and 24-Hour Movement Guidelines-Based Intervention Strategies for University Students With High-Risk Social Network Addiction: Cross-Sectional Study Using a Machine Learning Approach.

BACKGROUND: The exponential growth of digital technologies and the ubiquity of social media platform...

Improving Bovine Brucellosis Diagnostics: Rapid, Accurate Detection via Blood Serum Infrared Spectroscopy and Machine Learning.

Diagnosing bovine brucellosis is a major challenge due to its significant economic impact, causing l...

We need to show AI what didn't work as well as what did.

An approach to screen susceptible rats and efficacy of an antidepressive treatment after chronic stress.

Chronic stress during life has been considered a risk factor for the development of psychiatric illn...

Clinicians must participate in the development of multimodal AI.

Multimodal artificial intelligence (AI) is a powerful new technological advance, capable of simultan...

Gray Matter Differences in Adolescent Psychiatric Inpatients: A Machine Learning Study of Bipolar Disorder and Other Psychopathologies.

BACKGROUND: Bipolar disorder (BD) is among the psychiatric disorders most prone to misdiagnosis, wit...

Machine learning-assisted classification of hip conditions in pediatric cerebral palsy patients using migration percentage measurements.

Hip displacement is a significant concern in children with cerebral palsy (CP), necessitating accura...

Head-down tilt lithotomy position and well-leg compartment syndrome: An international survey of current practice.

AIM: Well-leg compartment syndrome (WLCS) is a serious complication of prolonged surgery in the head...

Applying Duties to Oversee AI to Medical Practitioners in Australia.

The ethical challenges of artificial intelligence (AI) in health require guardrails to mitigate and ...

Highlights 2024.

publishes research, technical developments, and reviews related to cardiac, vascular, and thoracic ...

Clinical Trial Design Approach to Auditing Language Models in Health Care Setting.

PURPOSE: Rapid advancements in natural language processing have led to the development of sophistica...

Constructing a predictive model of negative academic emotions in high school students based on machine learning methods.

Negative academic emotions reflect the negative experiences that learners encounter during the learn...

Machine Learning for Clinical Decision Support in the Neonatal Intensive Care Unit.

The neonatal intensive care unit (NICU) is a data-rich environment that is an ideal setting for the ...

Artificial Intelligence as a Language Barrier Application in a Simulated Health Care Setting: A Proof-of-Concept Study.

OBJECTIVE: We evaluated the accuracy of an artificial intelligence program (ChatGPT 4.0) as a medica...

Addressing Workforce and Ethical Gaps in AI-Driven Mental Health Care: A Response to Higgins and Wilson.

Artificial intelligence (AI)-based clinical decision support systems (CDSS) hold great promise for m...

Using Machine Learning to Identify Predictors of Maternal and Infant Hair Cortisol Concentration Before and During the COVID-19 Pandemic.

Hair cortisol concentration (HCC) has been theorized to reflect chronic stress, and maternal and inf...

Ensemble learning of deep CNN models and two stage level prediction of Cobb angle on surface topography in adolescents with idiopathic scoliosis.

This study employs Convolutional Neural Networks (CNNs) as feature extractors with appended regressi...

[Health Equity in Mental Health Care: Challenges for Nurses and Related Preparation].

Individuals with mental illness face significant challenges in achieving health equity due to social...

molecular investigation of microalgae cellulose synthase under salinity conditions and evaluation of the proportionate effects on cellulose production.

UNLABELLED: is a microalgae with more than substantially 60-70% cellulose in its cell wall, making ...

Digital Pathology and Artificial Intelligence in Pediatric Pathology.

Applications of artificial intelligence (AI) and machine learning (ML) are rapidly developing to sup...

Diagnostic Stewardship of Blood Cultures in the Pediatric ICU Using Machine Learning.

OBJECTIVE: The medical community recently experienced a severe shortage of blood culture media bottl...