Pediatrics

Assessing the Competence of Artificial Intelligence Programs in Pediatric Ophthalmology and Strabismus and Comparing their Relative Advantages.

The aim of the study was to determine the knowledge levels of ChatGPT, Bing, and Bard artificial in...

Artificial Intelligence in Drug Formulation and Development: Applications and Future Prospects.

Artificial Intelligence (AI) has emerged as a powerful tool in various domains, and the field of dru...

Development of a GCN-based model to predict in vitro phototoxicity from the chemical structure and HOMO-LUMO gap.

The interaction between sunlight and drugs can lead to phototoxicity in patients who have received s...

Analysis of COVID-19 Vaccinations and Symptom Mapping Diagnostic Technique for Viral Diseases: Using Data Analytics, Machine Learning, and Artificial Intelligence.

To analyze, understand, and measure the COVID-19 vaccination outlook in a developing country as Nige...

Deep learning image reconstruction for quality assessment of iodine concentration in computed tomography: A phantom study.

BACKGROUND: Recently, deep learning reconstruction (DLR) technology aiming to improve image quality ...

A Guide to MethylationToActivity: A Deep Learning Framework That Reveals Promoter Activity Landscapes from DNA Methylomes in Individual Tumors.

Genome-wide DNA methylomes have contributed greatly to tumor detection and subclassification. Howeve...

Artificial intelligence and machine learning in ophthalmology: A review.

Since the introduction of artificial intelligence (AI) in 1956 by John McCarthy, the field has prope...

A novel method for conformity assessment testing of infant incubators for post-market surveillance purposes.

BACKGROUND: Premature born infants or infants born sick require immediate medical attention and decr...

Deep Learning Based COVID-19 Detection Using Medical Images: Is Insufficient Data Handled Well?

Deep learning is a prominent method for automatic detection of COVID-19 disease using a medical data...

New technologies in airway management: A review.

The evolution of medical knowledge and technological growth have contributed to the development of d...

Artificial Intelligence-based Detection of Epileptic Discharges from Pediatric Scalp Electroencephalograms: A Pilot Study.

We developed an artificial intelligence (AI) technique to identify epileptic discharges (spikes) in ...

Towards emotionally aligned social robots for dementia: perspectives of care partners and persons with dementia.

BACKGROUND: Persons living with dementia and their care partners place a high value on aging in plac...

Recommendations for the development and use of imaging test sets to investigate the test performance of artificial intelligence in health screening.

Rigorous evaluation of artificial intelligence (AI) systems for image classification is essential be...

An automated bedside measure for monitoring neonatal cortical activity: a supervised deep learning-based electroencephalogram classifier with external cohort validation.

BACKGROUND: Electroencephalogram (EEG) monitoring is recommended as routine in newborn neurocritical...

Development and deployment of interpretable machine-learning model for predicting in-hospital mortality in elderly patients with acute kidney disease.

BACKGROUND: Acute kidney injury (AKI) is more likely to develop in the elderly admitted to the inten...

Integrating a crop growth model and radiative transfer model to improve estimation of crop traits based on deep learning.

A major challenge for the estimation of crop traits (biophysical variables) from canopy reflectance ...

The Essence and Role of Nurses in the Future of Biomedical and Health Informatics.

The whole healthcare system is evolving fast due to environmental pressure related to pandemics, cli...

Cardiac CTA image quality of adaptive statistical iterative reconstruction-V versus deep learning reconstruction "TrueFidelity" in children with congenital heart disease.

BACKGROUND: Several recent studies have reported that deep learning reconstruction "TrueFidelity" (T...

Ontology Development Kit: a toolkit for building, maintaining and standardizing biomedical ontologies.

Similar to managing software packages, managing the ontology life cycle involves multiple complex wo...

[Getting to know artificial intelligence well is the first step].

[Artificial intelligence in medical application: problems and legal countermeasures].

Artificial intelligence (AI) is widely used in the current medical field at home and abroad, includi...