Latest AI and machine learning research in dermatology for healthcare professionals.
Atopic dermatitis (AD) is a complex multifactorial inflammatory skin disease that affects ~280 milli...
In recent years, several convolutional neural network (CNN) methods have been proposed for the autom...
Early diagnosis and continuous monitoring of patients suffering from eye diseases have been major co...
OBJECTIVES: We sought to investigate the diagnostic performance of coronary CT angiography (cCTA)-de...
Eosinophilic esophagitis (EoE) is a chronic immune-mediated disease isolated to the esophagus Food a...
Adenomatous polyps are a common precursor lesion for colorectal cancer. ColonFlag is a machine- lear...
Epidemiological and clinical studies have shown a great difference in the severity and prevalence of...
This study describes the usage of neural community based on the texture evaluation of pores and skin...
Renal segmentation is one of the most fundamental and challenging task in computer aided diagnosis s...
BACKGROUND AND OBJECTIVE: Fully convolutional neural networks have been shown to perform well for au...
Magnetic resonance imaging (MRI) scans play a pivotal role in the evaluation of patients presenting ...
Nonmass-like enhancements are a common but diagnostically challenging finding in breast MRI. Nonmass...
BACKGROUND: Automated classification of medical images through neural networks can reach high accura...
Immune-mediated diseases affect more than 20% of the population, and many autoimmune diseases affect...
BACKGROUND: State-of-the-art classifiers based on convolutional neural networks (CNNs) were shown to...
The spinal cord is frequently affected by atrophy and/or lesions in multiple sclerosis (MS) patients...
Hepatic impairment is common during hyperthyroidism. It is most often asymptomatic. Hyperthyroidism ...
A cardiac arrest is a life-threatening event, often fatal. Whilst clinicians classify some of the ca...
While convolutional neural networks (CNNs) have successfully been applied for skin lesion classifica...
Accurate localization of structural abnormalities is a precursor for image-based prenatal assessment...
BACKGROUND: Application of deep-learning technology to skin cancer classification can potentially im...