Pediatrics

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

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Nonlinear Topological Photonics: Capturing Nonlinear Dynamics and Optical Thermodynamics.

Combining multiple optical resonators or engineering dispersion of complex media has provided an eff...

Development of an artificial intelligence powered software for automated analysis of skeletal muscle ultrasonography.

Muscle ultrasound has high utility in clinical practice and research; however, the main challenges a...

Social media interaction and built environment effects on urban walking experience: A machine learning analysis of Shanghai Citywalk.

In fast-paced urban environments, Citywalk has emerged as a key leisure activity for urban residents...

Applying user-centred techniques and expert feedback to refine an AI-based app for addressing mobile gaming addiction in adolescents.

BACKGROUND: The prevalent use of smartphones has contributed to a rise in mobile gaming addiction, e...

Managing chronic disease in the digital era: The role of telemedicine apps and platforms.

Chronic diseases such as diabetes, heart disease, or asthma are one of the biggest health challenges...

Suicide risk prediction for Korean adolescents based on machine learning.

Traditional clinical risk assessment tools proved inadequate for reliably identifying individuals at...

Integrating attention networks into a hybrid model for HER2 status prediction in breast cancer.

Breast cancer is one of the most prevalent cancers amongst women, caused by uncontrolled cell growth...

DeepSeek's Readiness for Medical Research and Practice: Prospects, Bottlenecks, and Global Regulatory Constraints.

DeepSeek, an open-source multimodal Large Language Model (LLM), was launched by the Chinese startup ...

Artificial intelligence tool development: what clinicians need to know?

Digital medicine and smart healthcare will not be realised without the cognizant participation of cl...

DeepSeek Deployed in 90 Chinese Tertiary Hospitals: How Artificial Intelligence Is Transforming Clinical Practice.

The integration of artificial intelligence (AI) into clinical practice has reached a new milestone i...

Birth weight prediction using artificial intelligence-based placental assessment from macroscopic photo: a retrospective study.

BACKGROUND: This study aimed to predict newborn birth weight through multifactorial analysis of macr...

Artificial intelligence in pediatric osteopenia diagnosis: evaluating deep network classification and model interpretability using wrist X-rays.

Osteopenia is a bone disorder that causes low bone density and affects millions of people worldwide....

The intelligent development and preservation of folk sports culture under artificial intelligence.

To promote the intelligent development and preservation of folk sports culture, this work proposes a...

SmartBerry for AI-based growth stage classification and precision nutrition management in strawberry cultivation.

Agriculture is vital for human sustenance and economic stability, with increasing global food demand...

Development and validation of a machine learning risk prediction model for asthma attacks in adults in primary care.

Primary care consultations provide an opportunity for patients and clinicians to assess asthma attac...

Health Care Professionals' Concerns About Medical AI and Psychological Barriers and Strategies for Successful Implementation: Scoping Review.

BACKGROUND: The rapid progress in the development of artificial intelligence (AI) is having a substa...

Using deep learning for estimation of time-since-injury in pediatric accidental fractures.

BACKGROUND: Estimating time-since-injury of healing fractures is imprecise, encompassing excessively...

Development of an ethical framework for the use of social robots in the care of individuals with major neurocognitive disorders: a qualitative study.

BACKGROUND: Despite the growing use of social robots in geriatric care, there is a lack of standardi...

Development of an Artificial Intelligence-Enabled Electrocardiography to Detect 23 Cardiac Arrhythmias and Predict Cardiovascular Outcomes.

Arrhythmias are common and can affect individuals with or without structural heart disease. Deep lea...

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