Latest AI and machine learning research in pediatrics for healthcare professionals.
Deep learning is one of the most exciting new areas in medical imaging. This review article provides...
Fusarium-controlling fungicides are necessary to limit crop loss. Little is known about the effect o...
BACKGROUND: Logic Learning Machine (LLM) is an innovative method of supervised analysis capable of c...
We aimed at reducing alarm fatigue in neonatal intensive care units by developing a model using mach...
Today's life assistive devices were playing significant role in our life to communicate with others....
BACKGROUND: Secondary and retrospective use of hospital-hosted clinical data provides a time- and co...
PURPOSE: To investigate improvements in performance for automatic bone age estimation that can be ga...
Growth in open-source hardware designs combined with the low-cost of high performance optoelectronic...
This study evaluated a powdered coconut water solution (ACP 406®) as a base culture medium on the s...
Genome Wide Association Studies (GWAS) have evaluated several genes related to vitamin D synthesis,...
Precise 3D segmentation of infant brain tissues is an essential step towards comprehensive volumetri...
Caenorhabditis elegans is a popular organism for aging research owing to its highly conserved molecu...
BACKGROUND: The use of machine learning (ML) algorithms to study suicidality has recently been recom...
We present a case report of a 25-year-old obese man complaining of primary infertility for 2 years. ...
This study evaluated prediction performance of three different machine learning (ML) techniques in p...
PURPOSE: Early intervention is effective for developing motor ability and preventing contractures an...
Growth factor delivery using acellular matrices presents a promising alternative to current treatmen...
BACKGROUND: Drug-resistant cytomegalovirus (CMV) infection has been increasingly recognized. However...
INTRODUCTION: Cell therapy has been widely considered as a therapeutic approach for neurodegenerativ...
OBJECTIVE: Models for predicting preterm birth generally have focused on very preterm (28-32 weeks) ...
Systematic, structured and longitudinal collection of realtime Big Patient Data and the analysis of ...