Pediatrics

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

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An Agent-based Decision Support for a Vaccination Campaign.

We explore the Covid-19 diffusion with an agent-based model of an Italian region with a population o...

Robot-assisted laparoscopic urologic surgery in infants weighing ≤10 kg: A weight stratified analysis.

INTRODUCTION: Robot-assisted laparoscopic (RAL) urologic surgery is widely used in pediatric patient...

Characterization and synthesis of indole-3-acetic acid in plant growth promoting sp.

Indole-3-acetic acid (IAA) plays an important role in the growth and development of plants. In this ...

Combining multi-site magnetic resonance imaging with machine learning predicts survival in pediatric brain tumors.

Brain tumors represent the highest cause of mortality in the pediatric oncological population. Diagn...

Mutations of PHOX2B Gene in Patients of Obesity Hypoventilation Syndrome in Central India.

 Paired-like homeobox 2B (PHOX2B) gene on chromosome 4p12 codes for a transcription factor having a...

Artificial intelligence-based approaches for modeling the effects of spirulina growth mediums on total phenolic compounds.

Spirulina is a microalga and its phenolic compound is affected by growth mediums. In this study, Art...

Implementation of artificial intelligence algorithms for melanoma screening in a primary care setting.

Skin cancer is currently the most common type of cancer among Caucasians. The increase in life expec...

Artificial intelligence-enhanced drug design and development: Toward a computational precision medicine.

Artificial Intelligence (AI) relies upon a convergence of technologies with further synergies with l...

RGB-D scene analysis in the NICU.

Continuity of care is achieved in the neonatal intensive care unit (NICU) through careful documentat...

Distinguishing pure histopathological growth patterns of colorectal liver metastases on CT using deep learning and radiomics: a pilot study.

Histopathological growth patterns (HGPs) are independent prognosticators for colorectal liver metast...

Facilitators and barriers to using telepresence robots in aged care settings: a scoping review protocol.

INTRODUCTION: Social isolation is a significant issue in aged care settings (eg, long-term care (LTC...

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...

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