Pediatrics

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

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Automated food intake tracking requires depth-refined semantic segmentation to rectify visual-volume discordance in long-term care homes.

Malnutrition is a multidomain problem affecting 54% of older adults in long-term care (LTC). Monitor...

Deep Learning-Assisted Diagnosis of Pediatric Skull Fractures on Plain Radiographs.

OBJECTIVE: To develop and evaluate a deep learning-based artificial intelligence (AI) model for dete...

Machine Learning and Artificial Intelligence in Pharmaceutical Research and Development: a Review.

Over the past decade, artificial intelligence (AI) and machine learning (ML) have become the breakth...

Oocyte Cryopreservation - Current Scenario and Future Perspectives: A Narrative Review.

Oocyte cryopreservation is a boon for women undergoing assisted reproductive technology. With the ev...

Comparison of antibody response to SARS-CoV-2 after two doses of inactivated virus and BNT162b2 mRNA vaccines in kidney transplant.

BACKGROUND: Antibody response against severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) a...

Transient hypercalcemia followed by hypocalcemia in a preterm infant after maternal magnesium sulfate therapy.

Maternal use of magnesium sulfate has been associated with neonatal hypocalcemia and bone changes. W...

Preoperative Iron Supplementation in Pediatric Cardiac Surgical Patients: A Preliminary Single-Center Experience.

OBJECTIVE: To assess preoperative hemoglobin and perioperative red blood cell transfusion in childre...

Registries, Databases and Repositories for Developing Artificial Intelligence in Cancer Care.

Modern artificial intelligence techniques have solved some previously intractable problems and produ...

Risk Assessment and Determination of Factors That Cause the Development of Hyperinsulinemia in School-Age Adolescents.

: Hyperinsulinemia and insulin resistance are not synonymous; if the risk of developing insulin resi...

Application of AI and IoT in Clinical Medicine: Summary and Challenges.

The application of artificial intelligence (AI) technology in the medical field has experienced a lo...

Image-Based Artificial Intelligence in Wound Assessment: A Systematic Review.

Accurately predicting wound healing trajectories is difficult for wound care clinicians due to the ...

Computational Models for Diagnosing and Treating Endometriosis.

Endometriosis is a common but poorly understood disease. Symptoms can begin early in adolescence, wi...

Enhancing the Tracking of Seedling Growth Using RGB-Depth Fusion and Deep Learning.

The use of high-throughput phenotyping with imaging and machine learning to monitor seedling growth ...

Joint Deep-Learning-Enabled Impact of Holistic Care on Line Coagulation in Hemodialysis.

In order to investigate the impact of holistic care on line coagulation and safety in hemodialysis a...

Effects of nano-manganese on humoral immune response and oxidative stress in broilers.

The objective of the present study was to evaluate the alterations in selected indicators of immune ...

A growth mindset about human minds promotes positive responses to intelligent technology.

Perceiving minds in technology agents, for example, robots designed with artificial intelligence (AI...

Ureteral Reimplantation for Primary Obstructive Megaureter in Pediatric Patients: Is It Time for Robot-Assisted Approach?

To compare open and robotic approach for treatment of Primary Obstructive Megaureter (POM) in a ser...

Elevated Levels of Urinary Biomarkers TIMP-2 and IGFBP-7 Predict Acute Kidney Injury in Neonates after Congenital Heart Surgery.

 This article investigated the utility of urine biomarkers tissue inhibitor of metalloproteinase-2 ...

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