Pediatrics

Optimization in the Context of COVID-19 Prediction and Control: A Literature Review.

This paper presents an overview of some key results from a body of optimization studies that are spe...

The defalsif-AI project: protecting critical infrastructures against disinformation and fake news.

In this paper, we describe the concept and ongoing work of the project defalsif-AI, which addresses ...

Transoral robotic resection of a lingual thyroid: a novel treatment for obstructive sleep apnoea.

A 34-year-old woman with a history of congenital hypothyroidism and 15 years of obstructive sleep ap...

Microplanning for designing vaccination campaigns in low-resource settings: A geospatial artificial intelligence-based framework.

Existing campaign-based healthcare delivery programs used for immunization often fall short of estab...

[Digitization of the healthcare system: the BfArM's contribution to the development of potential].

Digitalization is a clear megatrend of our time, also in the health sector, which is currently exper...

Explainable artificial intelligence based analysis for interpreting infant fNIRS data in developmental cognitive neuroscience.

In the last decades, non-invasive and portable neuroimaging techniques, such as functional near infr...

Reproductive characteristics of the giant gurami sago strain ( Lacepède, 1801): basic knowledge for a future hatchery development strategy.

The giant gourami sago strain ( Lacepède) has been approved in 2018 as a candidate for freshwater ...

The whole brain architecture approach: Accelerating the development of artificial general intelligence by referring to the brain.

The vastness of the design space that is created by the combination of numerous computational mechan...

SIRVD-DL: A COVID-19 deep learning prediction model based on time-dependent SIRVD.

COVID-19 is one of the biggest challenges that human beings have faced recently. Many researchers ha...

Learning the impact of acute and chronic diseases on forecasting neonatal encephalopathy.

OBJECTIVE: There is a wide range of risk factors predisposing to the onset of neonatal encephalopath...

Geometric and biomechanical modeling aided by machine learning improves the prediction of growth and rupture of small abdominal aortic aneurysms.

It remains difficult to predict when which patients with abdominal aortic aneurysm (AAA) will requir...

Pediatric quality measures: The leap from process to outcomes.

Value-based reimbursement arrangements tie financial incentives to achieving quality measures to ens...

Assessing outcomes of ear molding therapy by health care providers and convolutional neural network.

Ear molding therapy is a nonsurgical technique to correct certain congenital auricular deformities. ...

Introduction to the artificial intelligence in pediatric radiology imaging special issue.

Kefir modulates gut microbiota and reduces DMH-associated colorectal cancer via regulation of intestinal inflammation in adulthood offsprings programmed by neonatal overfeeding.

Obesity is associated with chronic inflammation, intestinal dysbiosis, and colorectal cancer risk. T...

Deep learning models for benign and malign ocular tumor growth estimation.

Relatively abundant availability of medical imaging data has provided significant support in the dev...

Tooth and Bone Parameters in the Assessment of the Chronological Age of Children and Adolescents Using Neural Modelling Methods.

The analog methods used in the clinical assessment of the patient's chronological age are subjective...

Machine learning guided postnatal gestational age assessment using new-born screening metabolomic data in South Asia and sub-Saharan Africa.

BACKGROUND: Babies born early and/or small for gestational age in Low and Middle-income countries (L...

Literature Mining and Mechanistic Graphical Modelling to Improve mRNA Vaccine Platforms.

RNA vaccines represent a milestone in the history of vaccinology. They provide several advantages ov...

In utero exposure to electronic-cigarette aerosols decreases lung fibrillar collagen content, increases Newtonian resistance and induces sex-specific molecular signatures in neonatal mice.

Approximately 7% of pregnant women in the United States use electronic-cigarette (e-cig) devices dur...

Application of Artificial Intelligence in Community-Based Primary Health Care: Systematic Scoping Review and Critical Appraisal.

BACKGROUND: Research on the integration of artificial intelligence (AI) into community-based primary...