Latest AI and machine learning research in dermatology for healthcare professionals.
INTRODUCTION: Differential diagnosis of Erythmato-Squamous Diseases (ESD) is a major challenge in th...
We propose a dual pathway, 11-layers deep, three-dimensional Convolutional Neural Network for the ch...
Non-small cell lung cancer (NSCLC) is the most dominating and lethal type of lung cancer triggering ...
Robotic assistance improves surgical dexterity in minimally invasive operations, especially when fin...
INTRODUCTION: Clinical decision support systems (CDSSs) are being developed to assist physicians in ...
(Verbenaceae) is a plant widely used in folk medicine to treat various diseases. The present work d...
In this paper, we consider solutions to ten of the challenges faced when trying to predict an indivi...
Clinical research based on neuroimaging data has benefited from machine learning methods, which have...
Efficiency, memory consumption, and robustness are common problems with many popular methods for dat...
In this study, oils from Asarum heterotropoides were extracted by traditional solvent extraction and...
BACKGROUND: There have been repeated initiatives to produce standard nosologies and terminologies fo...
Background. One of the fatal disorders causing death is malignant melanoma, the deadliest form of sk...
The gastrointestinal endoscopy in this study refers to conventional gastroscopy and wireless capsule...
OBJECTIVES: The purpose of this study was to determine how reduced plantar cutaneous sensation influ...
Laser speckle contrast imaging (LSCI) provides a noninvasive and cost effective solution for in vivo...
While the association of eczema with asthma is well recognized, little research has focused on the p...
We propose a novel segmentation approach based on deep 3D convolutional encoder networks with shortc...
The biomedical applications of wireless robots are an active area of study. In addition to moving to...
OBJECTIVE: Wide-scale adoption of electronic medical records (EMRs) has created an unprecedented opp...
Differentiation between treatment-related changes and progressive disease (PD) remains a major clini...
BACKGROUND AND OBJECTIVE: The automatic classification of breast imaging lesions is currently an uns...