Pediatrics

Changes in left ventricular systolic function after transcatheter patent ductus arteriosus closure in premature infants.

BACKGROUND: Changes in left ventricular (LV) systolic function have not been well described in premature neonates after transcatheter patent ductus arteriosus (PDA) closure.

Digital patient twins for personalized therapeutics and pharmaceutical manufacturing.

Digital twins are virtual models of physical artefacts that may or may not be synchronously connected, and that can be used to simulate their behavior. They are widely used in several domains such as manufacturing and automotive to enable achieving specific quality goals. In the health domain, so-called digital patient twins have been understood as virtual models of patients generated from populat...

How satisfied are patients with nursing care and why? A comprehensive study based on social media and opinion mining.

To assess the overall experience of a patient in a hospital, many factors must be analyzed; nonetheless, one of the key aspects is the performance of ...

Challenges of artificial intelligence in medicine and dermatology.

Artificial intelligence (AI) in medicine and dermatology brings additional challenges related to bias, transparency, ethics, security, and inequality....

How does artificial intelligence affect the transformation of China's green economic growth? An analysis from internal-structure perspective.

Artificial intelligence (AI) has been proved to be an important engine of green economic development, yet how it will affect the internal structure of...

Combining spectral and texture feature of UAV image with plant height to improve LAI estimation of winter wheat at jointing stage.

INTRODUCTION: Leaf area index (LAI) is a critical physiological and biochemical parameter that profoundly affects vegetation growth. Accurately estima...

Multi temporal multispectral UAV remote sensing allows for yield assessment across European wheat varieties already before flowering.

High throughput field phenotyping techniques employing multispectral cameras allow extracting a variety of variables and features to predict yield and...

Navigating the AI frontiers in cardiovascular research: a bibliometric exploration and topic modeling.

Artificial intelligence (AI) has emerged as a promising field in cardiovascular disease (CVD) research, offering innovative approaches to enhance diag...

Applying data science methodologies with artificial intelligence variant reinterpretation to map and estimate genetic disorder prevalence utilizing clinical data.

Data science methodologies can be utilized to ascertain and analyze clinical genetic data that is often unstructured and rarely used outside of patien...

A publicly available newborn ear shape dataset for medical diagnosis of auricular deformities.

Early and accurate diagnosis of ear deformities in newborns is crucial for an effective non-surgical correction treatment, since this commonly seen ea...

Shaping the development and use of Artificial Intelligence: how human factors and ergonomics expertise can become more pertinent.

New developments in Artificial Intelligence (AI) are extensively discussed in public media and scholarly publications. While in many academic discipli...

Psychotherapy, artificial intelligence and adolescents: ethical aspects.

Artificial intelligence (AI) has rapidly advanced in various domains, including its application in psychotherapy. AI-powered psychotherapy tools prese...

American Indian and Alaskan Native Access to Obstetrics and Gynecology Subspecialists: Findings From a National Mystery Caller Study in the United States.

Background A significant disparity exists for American Indian and Alaska Native populations in accessing obstetric and gynecology (OBGYN) subspecialty...

Fractalkine modulates pulmonary angiogenesis and tube formation by modulating CX3CR1 and growth factors in PVECs.

This study aimed to investigate effects of pulmonary fractalkine (FKN/CX3CL1) on angiogenesis and tube formation. Tube forming capability of pulmonary...

Machine learning models for prediction of Escherichia coli O157:H7 growth in raw ground beef at different storage temperatures.

Shiga toxin-producing Escherichia coli (STEC) can be life-threatening and lead to major outbreaks. The prevention of STEC-related infections can be pr...

Predicting transfers to intensive care in children using CEWT and other early warning systems.

BACKGROUND AND OBJECTIVE: The Children's Early Warning Tool (CEWT), developed in Australia, is widely used in many countries to monitor the risk of de...

Indocyanine Green (ICG) Fluorescence-Assisted Open Surgery Using the Rubina Lens System in the Pediatric Population: A Single-Center Prospective Case Series.

INTRODUCTION: There are scarce papers about the use of fluorescence-guided surgery (FGS) in the open surgical field. This study aimed to assess the us...

Causal factors in childhood and adolescence leading to anabolic-androgenic steroid use: A machine learning approach.

BACKGROUND: Prior research has demonstrated associations between anabolic-androgenic steroid (AAS) use and features from several childhood and adolesc...

Intranasally Delivered Adenoviral Vector Protects Chickens against Newcastle Disease Virus: Vaccine Manufacturing and Stability Assessments for Liquid and Lyophilized Formulations.

Newcastle disease (ND) remains a critical disease affecting poultry in sub-Saharan Africa. In some countries, repeated outbreaks have a major impact o...

Modified Meta Heuristic BAT with ML Classifiers for Detection of Autism Spectrum Disorder.

ASD (autism spectrum disorder) is a complex developmental and neurological disorder that impacts the social life of the affected person by disturbing ...