The development of artificial intelligence methods has impacted therapeutics, personalized
diagnostics, drug discovery, and medical imaging. Although, in many situations, AI clinical …

Objectives We aimed to investigate the association between multi-modality features and
epilepsy drug treatment outcomes and propose a machine learning model to predict …

Artificial intelligence (AI) refers to computer algorithms that replicate the cognitive function of
humans. Machine learning is widely applicable using structured and unstructured data …

Planning cities regardless of natural resources has led to the existence of threats for several
species that occupy an important place in local ecosystems. Constructing buildings, bridges …

Background Hyperbilirubinemia of the newborn infant is a common disease worldwide.
However, recognized early and treated appropriately, it typically remains innocuous. We …

Introduction: This study aimed to develop models for predicting total serum bilirubin by
correcting errors of transcutaneous bilirubin using machine learning based on neonatal …

The potential of artificial intelligence (AI) methods for the early detection of neonatal
jaundice is examined in this study, a common condition affecting newborns. Through …

Background: In our setting majority of the mothers were discharged on postnatal day 3. but
over the past few years the NICU admissions also increased prolonging the hospital stay of …

The yellowing of the skin is a sign of neonatal hyperbilirubinemia, often known as jaundice.
The most common method for screening for Hyperbilirubinemia in newborns is a visual …

Physiological jaundice is the most common condition that requires medical attention and
hospital readmission of neonates. About 60% of term and 80% of preterm babies develop …