Pediatrics

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

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Development and Content Analysis Protocol for Evaluating Artificial Intelligence in Drug-Related Information.

INTRODUCTION: Artificial intelligence (AI) has significant transformative potential across various s...

Supervised machine learning on electrocardiography features to classify sleep in noncritically ill children.

STUDY OBJECTIVES: Despite frequent sleep disruption in the pediatric intensive care unit, bedside sl...

Evaluation of automated pediatric sleep stage classification using U-Sleep: a convolutional neural network.

STUDY OBJECTIVES: U-Sleep is a publicly available automated sleep stager, but has not been independe...

FDA Perspective on the Regulation of Artificial Intelligence in Health Care and Biomedicine.

IMPORTANCE: Advances in artificial intelligence (AI) must be matched by efforts to better understand...

Making the most of Artificial Intelligence and Large Language Models to support collection development in health sciences libraries.

This project investigated the potential of generative AI models in aiding health sciences librarians...

Multimodal deep learning improves recurrence risk prediction in pediatric low-grade gliomas.

BACKGROUND: Postoperative recurrence risk for pediatric low-grade gliomas (pLGGs) is challenging to ...

BindingDB in 2024: a FAIR knowledgebase of protein-small molecule binding data.

BindingDB (bindingdb.org) is a public, web-accessible database of experimentally measured binding af...

New Directions for Ophthalmic OCT - Handhelds, Surgery, and Robotics.

The introduction of optical coherence tomography (OCT) in the 1990s revolutionized diagnostic ophtha...

AI in fungal drug development: opportunities, challenges, and future outlook.

The application of artificial intelligence (AI) in fungal drug development offers innovative strateg...

Leveraging big data in health care and public health for AI driven talent development in rural areas.

INTRODUCTION: This study proposes a novel Transformer-based approach to enhance talent attraction an...

Personalization variables in digital mental health interventions for depression and anxiety in adolescents and youth: a scoping review.

INTRODUCTION: The impact of personalization on user engagement and adherence in digital mental healt...

Home spirometry telemonitoring in pediatric patients with asthma: a mixed study.

BACKGROUND: To evaluate the feasibility and practicality of home spirometry telemonitoring for pedia...

Prediction of post-Schroth Cobb angle changes in adolescent idiopathic scoliosis patients based on neural networks and surface electromyography.

INTRODUCTION: To develop a temporal-convolutional-LSTM (TCN-LSTM) hybrid model integrating surface e...

TWINVAX: conceptual model of a digital twin for immunisation services in primary health care.

INTRODUCTION: This paper presents a proposal for the modelling and reference architecture of a digit...

IoT and ML-driven framework for managing infectious disease risks in communal spaces: a post-COVID perspective.

COVID-19 has not only changed the way people live but has also altered the way all organizations ope...

Deep learning-based classification of speech disorder in stroke and hearing impairment.

BACKGROUND AND OBJECTIVE: Speech disorders can arise from various causes, including congenital condi...

Development and evaluation of machine learning models for individualized prediction of myopia control efficacy treated with overnight orthokeratology.

PURPOSE: The primary objective of this study is to develop a predictive model utilizing fundamental ...

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