Pediatrics

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

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Harnessing AI for Improved Diagnosis and Management of Pediatric Sepsis: Current Advances, Challenges, and Future Directions.

Artificial intelligence (AI) has been applied to early recognition and management of rapidly progres...

Modernizing Risk Adjustment in Health Care: A Position Paper of the American College of Physicians.

Risk adjustment is a critical component of health care reimbursement aimed at ensuring fair compensa...

How does social support influence autonomous physical learning in adolescents? Evidence from a chain mediation and latent profile analysis.

PURPOSE: This study examines how social support influences adolescents' autonomous physical learning...

[Participatory approaches in the development of AI applications in medicine: opportunities and challenges].

The increasing integration of artificial intelligence (AI) in healthcare not only holds the potentia...

Proposal for Using AI to Assess Clinical Data Integrity and Generate Metadata: Algorithm Development and Validation.

BACKGROUND: Evidence-based medicine combines scientific research, clinical expertise, and patient pr...

A Review of Medical Oxygen Concentrators for Respiratory Applications.

Medical oxygen concentrators are vital apparatuses that deliver supplemental oxygen to persons with ...

Advances in intraoperative imaging technologies for complex biliary disease.

Intraoperative imaging has enhanced the precision of biliary surgery in pediatric patients by improv...

Predicting adolescents' environmental action: From individual to national-level factors using an explainable machine learning approach.

As a key force in future environmental actions, youth play a crucial role in driving societal transf...

HEalth Record Optimization for Identifying Candidates for HIV PRe-Exposure Prophylaxis: A Community-Informed Approach to Model Development.

Electronic health record (EHR)-based models to identify individuals who may benefit from pre-exposur...

Anaesthesia in 2050: how emerging technologies will transform our practice: The Sir Robert Macintosh Lecture 2025.

In the next 25 years, we will see unprecedented technological progress due to the artificial intelli...

Smartphone image dataset for machine learning-based monitoring and analysis of mango growth stages.

Machine learning and artificial intelligence have gained widespread popularity across various sector...

On the usage of artificial intelligence in leprosy care: A systematic literature review.

Leprosy, or Hansen's disease, is a Neglected Tropical Disease (NTD) caused by Mycobacterium leprae t...

Exploring the Development and Future Directions of Facial Bone Contouring: A Bibliometric and Visualization Analysis From 2005 to 2025.

The study aims to evaluate the global research landscape of facial bone contouring to identify curre...

Improving Clinical Utility of Fetal Cine CMR Using Deep Learning Super-Resolution.

BACKGROUND: Fetal cardiovascular magnetic resonance is an emerging tool for prenatal congenital hear...

How well do multimodal LLMs interpret CT scans? An auto-evaluation framework for analyses.

OBJECTIVE: This study introduces a novel evaluation framework, GPTRadScore, to systematically assess...

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