Pediatrics

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

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Forma mentis networks map how nursing and engineering students enhance their mindsets about innovation and health during professional growth.

Reconstructing a "forma mentis", a mindset, and its changes, means capturing how individuals perceiv...

Analysis of neurite length of hippocampal neurons cultured into 3D artificial network patterned microfluidic chips.

The study aims to lay a foundational probe for the thorough application microfluidic chips in brain...

Future development of artificial organs related with cutting edge emerging technology and their regulatory assessment: PMDA's perspective.

Future development of innovative artificial organs is closely related with cutting edge emerging tec...

Tracking Knowledge Evolution in Cloud Health Care Research: Knowledge Map and Common Word Analysis.

BACKGROUND: With the continuous development of the internet and the explosive growth in data, big da...

Development of an artificial neural network model to simulate the growth of microalga Chlorella vulgaris incorporating the effect of micronutrients.

Artificial neural network (ANN) models can be trained to simulate the dynamic behavior of biological...

The Economic Impact of Artificial Intelligence in Health Care: Systematic Review.

BACKGROUND: Positive economic impact is a key decision factor in making the case for or against inve...

Development of an early-warning system for high-risk patients for suicide attempt using deep learning and electronic health records.

Suicide is the tenth leading cause of death in the United States (US). An early-warning system (EWS)...

IoT Based Predictive Maintenance Management of Medical Equipment.

Technological advancements are the main drivers of the healthcare industry as it has a high impact o...

Numerosity discrimination in deep neural networks: Initial competence, developmental refinement and experience statistics.

Both humans and non-human animals exhibit sensitivity to the approximate number of items in a visual...

Monitoring stance towards vaccination in twitter messages.

BACKGROUND: We developed a system to automatically classify stance towards vaccination in Twitter me...

Can exascale computing and explainable artificial intelligence applied to plant biology deliver on the United Nations sustainable development goals?

Human population growth and accelerated climate change necessitate agricultural improvements using d...

Intelligent system based on data mining techniques for prediction of preterm birth for women with cervical cerclage.

Preterm birth, defined as a delivery before 37 weeks' gestation, continues to affect 8-15% of all pr...

The CLASSE GATOR (CLinical Acronym SenSE disambiGuATOR): A Method for predicting acronym sense from neonatal clinical notes.

OBJECTIVE: To develop an algorithm for identifying acronym 'sense' from clinical notes without requi...

Essential oils against bacterial isolates from cystic fibrosis patients by means of antimicrobial and unsupervised machine learning approaches.

Recurrent and chronic respiratory tract infections in cystic fibrosis (CF) patients result in progre...

A Novel 10-Point Score System to Predict Early Hematoma Growth in Patients With Spontaneous Intracerebral Hemorrhage.

A rapid and reliable method to predict significant early hematoma growth in the acute setting is of...

SDCT-AuxNet: DCT augmented stain deconvolutional CNN with auxiliary classifier for cancer diagnosis.

Acute lymphoblastic leukemia (ALL) is a pervasive pediatric white blood cell cancer across the globe...

The application of artificial intelligence (AI) techniques to identify frailty within a residential aged care administrative data set.

INTRODUCTION: Research has shown that frailty, a geriatric syndrome associated with an increased ris...

Somatosensory evoked fields predict response to vagus nerve stimulation.

There is an unmet need to develop robust predictive algorithms to preoperatively identify pediatric ...

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