Pediatrics

Systematic Review and Meta-Analysis of Pediatric Robot-Assisted Laparoscopic Pyeloplasty.

To perform a systematic review (SR) and meta-analysis (MA) of outcomes of robot-assisted laparoscopic pyeloplasty (RALP) for ureteropelvic junction (UPJ) obstruction in children. A SR of the English-language literature on surgical techniques and perioperative outcomes of RALP for UPJ obstruction in children was performed without time filters using the MEDLINE (through PubMed), EMBASE, and Cochra...

Antegrade Colonic Enema Channels in Pediatric Patients Using Appendix or Cecal Flap: A Comparative Robotic Open Series.

We present perioperative outcomes of a single-center experience with robot-assisted antegrade colonic enema (ACE) channel creation for the treatment of chronic constipation refractory to medical therapy and compare it to the traditional open surgical approach. We also demonstrate a step-by-step video presentation of the robotic approach for cecal flap ACE performed as part of a dual continence pr...

Machine Learning Used to Compare the Diagnostic Accuracy of Risk Factors, Clinical Signs and Biomarkers and to Develop a New Prediction Model for Neonatal Early-onset Sepsis.

BACKGROUND: Current strategies for risk stratification and prediction of neonatal early-onset sepsis (EOS) are inefficient and lack diagnostic perform...

Use of real-time artificial intelligence in detection of abnormal image patterns in standard sonographic reference planes in screening for fetal intracranial malformations.

OBJECTIVES: To develop and validate an artificial intelligence system, the Prenatal ultrasound diagnosis Artificial Intelligence Conduct System (PAICS...

Heart Murmurs in Children: Evaluation and Management.

Up to 8.6% of infants and 80% of children have a heart murmur during their early years of life. The presence of a murmur can indicate conditions rangi...

Artificial Intelligence and the Practice of Neurology in 2035: The Neurology Future Forecasting Series.

High-quality health care delivery relies on a complex orchestration of the flow of patient data. Incorporating advanced artificial intelligence (AI) t...

Deep learning-based automatic tumor burden assessment of pediatric high-grade gliomas, medulloblastomas, and other leptomeningeal seeding tumors.

BACKGROUND: Longitudinal measurement of tumor burden with magnetic resonance imaging (MRI) is an essential component of response assessment in pediatr...

Developing a Data Driven Approach for Early Detection of SIRS in Pediatric Intensive Care Using Automatically Labeled Training Data.

Critical care can benefit from analyzing data by machine learning approaches for supporting clinical routine and guiding clinical decision-making. Dev...

Competencies for the Use of Artificial Intelligence in Primary Care.

The artificial intelligence (AI) revolution has arrived for the health care sector and is finally penetrating the far-reaching but perpetually underfi...

What is the best method for long-term survival analysis?

In the Cox proportional hazards regression model, which is the most commonly used model in survival analysis, the effects of independent variables on ...

AI Tools Poised to Improve Patient Health Care.

Technologies to provide early predictions of breast cancer risk, to identify which hospital patients actually should have their vital signs monitored ...

Deep Learning in Therapeutic Antibody Development.

Deep learning applied to antibody development is in its adolescence. Low data volumes and biological platform differences make it challenging to devel...

Enhancing Diagnosis Through Technology: Decision Support, Artificial Intelligence, and Beyond.

Patient care in intensive care environments is complex, time-sensitive, and data-rich, factors that make these settings particularly well-suited to cl...

Artificial Intelligence to Improve Health Outcomes in the NICU and PICU: A Systematic Review.

CONTEXT: Artificial intelligence (AI) technologies are increasingly used in pediatrics and have the potential to help inpatient physicians provide hig...

[The application of Da Vinci surgical system in pediatric otolaryngology head and neck surgery].

Da Vinci surgical system （DVSS）, a novel surgical technology, is gradually applied in various surgical operations due to its accuracy and safety. In a...

Health Promotion, Health Literacy and Vaccine Hesitancy: The Role of Humanoid Robots.

The use of humanoid robot technologies within global healthcare settings is rapidly evolving; however, the potential of robots in health promotion and...

Megarrectosigmoides por constipación crónica idiopática, sigmoidectomía con robot en el paciente pediátrico. Primer caso en México.

We present the first pediatric case of Da Vinci Xi robot-assisted video sigmoidectomy in a 9-year-old male with chronic idiopathic constipation refrac...

Robot-assisted rehabilitation for children with neurological disabilities: Results of the Italian consensus conference CICERONE.

BACKGROUND: The use of robotic technologies in pediatric rehabilitation has seen a large increase, but with a lack of a comprehensive framework about ...

Linking multi-media modeling with machine learning to assess and predict lake Chlorophyll concentrations.

Eutrophication and excessive algal growth pose a threat on aquatic organisms and the health of the public, environment, and the economy. Understanding...

Deep Learning Algorithm to Predict Need for Critical Care in Pediatric Emergency Departments.

BACKGROUND AND OBJECTIVES: Emergency department (ED) overcrowding is a national crisis in which pediatric patients are often prioritized at lower leve...