Pediatrics

Feasibility and Acceptability of Remote Neuromotor Rehabilitation Interactions Using Social Robot Augmented Telepresence: A Case Study.

There is a growing need to deliver rehabilitation care to patients remotely. Long term demographic c...

Future of Pediatric Practice - Artificial Intelligence Beckoning?

Characterizing Infant Mortality Using Data Mining - A Case Study in Two Brazilian States - Santa Catarina and Amapá.

Infant mortality is characterized by the death of young children under the age of one, and it is an ...

Artificial intelligence and machine learning algorithms for early detection of skin cancer in community and primary care settings: a systematic review.

Skin cancers occur commonly worldwide. The prognosis and disease burden are highly dependent on the ...

Clinical Informatics and Quality Improvement in the Pediatric Intensive Care Unit.

Clinical informatics can support quality improvement and patient safety in the pediatric intensive c...

Constructive Fuzzy Cognitive Map for Depression Severity Estimation.

Depression is a common and serious medical disorder that negatively affects the mood and the emotion...

Potential for Machine Learning in Burn Care.

Burn-related injuries are a leading cause of morbidity across the globe. Accurate assessment and tre...

[Development and thoughts of digestive endoscopy in children].

After nearly 40 years of development, digestive endoscopy in children has been widely applied, and i...

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 laparoscop...

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 colon...

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...

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 diagn...

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 ...

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. Inc...

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 ess...

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...

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 pe...

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 ...

AI Tools Poised to Improve Patient Health Care.

Technologies to provide early predictions of breast cancer risk, to identify which hospital patients...

Deep Learning in Therapeutic Antibody Development.

Deep learning applied to antibody development is in its adolescence. Low data volumes and biological...

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 ...