Pediatrics

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

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Artificial Intelligence Bias in Health Care: Web-Based Survey.

BACKGROUND: Resources are increasingly spent on artificial intelligence (AI) solutions for medical a...

The ChatGPT (Generative Artificial Intelligence) Revolution Has Made Artificial Intelligence Approachable for Medical Professionals.

In November 2022, OpenAI publicly launched its large language model (LLM), ChatGPT, and reached the ...

Implications of Pediatric Artificial Intelligence Challenges for Artificial Intelligence Education and Curriculum Development.

Several radiology artificial intelligence (AI) courses are offered by a variety of institutions and ...

Developing a User-Friendly Code for the Fast Estimation of Well-Behaved Real-Space Partial Charges.

The Quantum Theory of Atoms in Molecules (QTAIM) provides an intuitive, yet physically sound, strate...

StethAid: A Digital Auscultation Platform for Pediatrics.

(1) Background: Mastery of auscultation can be challenging for many healthcare providers. Artificial...

Deep learning for deterioration prediction of COVID-19 patients based on time-series of three vital signs.

Unrecognized deterioration of COVID-19 patients can lead to high morbidity and mortality. Most exist...

Toward sustainable culture media: Using artificial intelligence to optimize reduced-serum formulations for cultivated meat.

When considering options for future foods, cell culture approaches are at the fore, however, culture...

Deep learning for diffusion in porous media.

We adopt convolutional neural networks (CNN) to predict the basic properties of the porous media. Tw...

Infection diagnosis in hydrocephalus CT images: a domain enriched attention learning approach.

. Hydrocephalus is the leading indication for pediatric neurosurgical care worldwide. Identification...

Face-based automatic pain assessment: challenges and perspectives in neonatal intensive care units.

OBJECTIVE: To describe the challenges and perspectives of the automation of pain assessment in the N...

Development potential of nanoenabled agriculture projected using machine learning.

The controllability and targeting of nanoparticles (NPs) offer solutions for precise and sustainable...

Pediatric Single-Incision Robotic Cholecystectomy: A 6-Year Update from a Single Institution.

In children, gallbladder disease has become more common due to the rise in childhood obesity and su...

The evolution and development of a robotic acute care surgery program.

BACKGROUND: Acute care surgeons perform more than 850,000 operations annually on emergency general s...

A deep learning predictive model for public health concerns and hesitancy toward the COVID-19 vaccines.

Throughout the pandemic era, COVID-19 was one of the remarkable unexpected situations over the past ...

A deep-learning-based clinical risk stratification for overall survival in adolescent and young adult women with breast cancer.

OBJECTIVE: The objective of this study is to construct a novel clinical risk stratification for over...

Understanding computational dialogue understanding.

In this paper, we first explain why human-like dialogue understanding is so difficult for artificial...

Ensemble Approach on Deep and Handcrafted Features for Neonatal Bowel Sound Detection.

For the care of neonatal infants, abdominal auscultation is considered a safe, convenient, and inexp...

Pneumonia detection with QCSA network on chest X-ray.

Worldwide, pneumonia is the leading cause of infant mortality. Experienced radiologists use chest X-...

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