Pediatrics

Medical machine learning operations: a framework to facilitate clinical AI development and deployment in radiology.

The integration of machine-learning technologies into radiology practice has the potential to signif...

Machine learning assisted noncontact neonatal anthropometry using FMCW radar.

This study proposes a method for measuring the height and weight of a neonate conveniently, safely, ...

Predicting high-need high-cost pediatric hospitalized patients in China based on machine learning methods.

Rapidly increasing healthcare spending globally is significantly driven by high-need, high-cost (HNH...

Using a Robot to Address the Well-Being, Social Isolation, and Loneliness of Care Home Residents via Video Calls: Qualitative Feasibility Study.

BACKGROUND: About 40,000 people are living in Norwegian care homes, where a majority are living with...

The published role of artificial intelligence in drug discovery and development: a bibliometric and social network analysis from 1990 to 2023.

Today, drug discovery and development is one of the fields where Artificial Intelligence (AI) is use...

Early-life and concurrent predictors of the healthy adolescent microbiome in a cohort study.

BACKGROUND: The microbiome of adolescents is poorly understood, as are factors influencing its compo...

Development and Validation of Machine Learning Algorithms for Predicting Prolonged Postoperative Opioid Use in Spinal Metastatic Disease.

Introduction: Operative management of spinal metastatic disease is largely for symptom palliation an...

The Role of Artificial Intelligence in Identifying Gene Variants and Improving Diagnosis.

Neurofibromatosis type 1 (NF1) is an autosomal dominant disorder caused by mutations in the gene, t...

New Strategies and Artificial Intelligence Methods for the Mitigation of Toxigenic Fungi and Mycotoxins in Foods.

The proliferation of toxigenic fungi in food and the subsequent production of mycotoxins constitute ...

Humanistic values of the physician in the era of artificial intelligence.

Artificial intelligence (AI) has recently been introduced into clinical practice with the potential ...

Best practice in rheumatology new developments in ultrasound and MRI imaging of pediatric rheumatic diseases.

The evidence base for ultrasound and MRI imaging in pediatric rheumatic diseases continues to grow, ...

Building and Beta-Testing Be Well Buddy Chatbot, a Secure, Credible and Trustworthy AI Chatbot That Will Not Misinform, Hallucinate or Stigmatize Substance Use Disorder: Development and Usability Study.

BACKGROUND: Artificially intelligent (AI) chatbots that deploy natural language processing and machi...

Can Open-Source AI Models Diagnose Complex Cases as Well as GPT-4?

Development of an Assistance Robot for Fall Detection and Reporting in Healthcare.

Falls pose a substantial risk to elderly individuals, especially those over 65, often leading to sev...

What Is in There for Artificial Intelligence to Support Mental Health Care for Persons with Serious Mental Illness? Opportunities and Challenges.

Artificial intelligence (AI) holds potential to support persons with serious mental illness, but evi...

Early Detection and Remote Care of Frailty for Older Adults Living in Sparsely Populated Rural Areas in Hokkaido, Japan: A Case Study.

The global increase in the number of older people aged 65 and over is causing concern in healthcare ...

Advances and critical aspects in cancer treatment development using digital twins.

The emergence of digital twins (DTs) in the arena of anticancer treatment echoes the transformative ...

Probability Score for the Diagnosis of Periprosthetic Joint Infection: Development and Validation of a Practical Multi-analyte Machine Learning Model.

Background and objective The diagnosis of periprosthetic joint infection (PJI) relies on established...

In Silico Research Is Rewriting the Rules of Drug Development: Is It the End of Human Trials?

Recent advances in computational biology, artificial intelligence (AI), and regulatory science are r...

Advancing Nutritional Status Classification With Hybrid Artificial Intelligence: A Novel Methodological Approach.

PURPOSE: Malnutrition remains a critical public health issue in low-income countries, significantly ...

Juvenile Myoclonic Epilepsy Imaging Endophenotypes and Relationship With Cognition and Resting-State EEG.

Structural neuroimaging studies of patients with Juvenile Myoclonic Epilepsy (JME) typically present...