Latest AI and machine learning research in psoriasis for healthcare professionals.
The study of psoriasis has yielded fundamental new insights into immunologic regulation and innovati...
Phase contrast microscopy, as a noninvasive imaging technique, has been widely used to monitor the b...
Nail psoriasis occurs in about every second psoriasis patient. Both, finger and toe nails can be aff...
Ground reaction force (GRF) is essential for estimating muscle strength and joint torque in inverse ...
Minimally invasive surgery has undergone significant advancements in recent years, transforming vari...
BACKGROUND: Psoriasis is one of the most frequent inflammatory skin conditions and could be treated ...
objectives: Telomerase reverse transcriptase () promoter mutation, found in a subset of patients wi...
Palmoplantar pustulosis (PPP) is a variant of pustular psoriasis involving the palms and soles. The ...
EEG source localization remains a challenging problem given the uncertain conductivity values of the...
. Computed Tomography (CT) image registration makes fast and accurate imaging-based disease diagnosi...
BACKGROUND: The knee adduction moment, a biomechanical risk factor of knee osteoarthritis, is typica...
Metabolic flux augmentation via glucose transport activation may be desirable in glucose transporter...
To provide a stable surgical view in Minimally Invasive Surgery (MIS), it is necessary for a flexibl...
Microwave imaging is emerging as an alternative modality to conventional medical diagnostics technol...
Background Radiomics is the extraction of predefined mathematic features from medical images for the...
Artificial intelligence (AI) has experienced explosive growth in oncology and related specialties in...
This article presents a new method for understanding and visualizing convolutional neural networks (...
This article proposes robust inverse Q -learning algorithms for a learner to mimic an expert's state...
Inverse kinematics problems (IKP) are ubiquitous in robotics for improved robot control in widesprea...
This work harnesses interpretable machine learning methods to address the challenging inverse design...
A connection between the general linear model (GLM) with frequentist statistical testing and machine...