Latest AI and machine learning research in stds for healthcare professionals.
Scientific results should not just be 'repeatable' (replicable in the same laboratory under identica...
Non-destructive testing is a group of methods for evaluating the integrity of components. Among them...
The stiffness of a soft robot with structural cavities can be regulated by controlling the pressure ...
Post-analytical reflexive (automated) and/or reflective (patient tailored and thought driven) interv...
Testing a global null hypothesis that there are no significant predictors for a binary outcome of in...
Testing is one of the important methodologies used by various countries in order to fight against CO...
Gastric cancer possesses great histological and molecular diversity, which creates obstacles for rap...
The emergence of the recent SARS-CoV-2 global health crisis introduced key challenges for epidemiolo...
As one of the most effective methods of vulnerability mining, fuzzy testing has scalability and comp...
VQA (Visual Question Answering) is a multi-model task. Given a picture and a question related to the...
To see if HHV-6 may be a cause of infertility, researchers looked at 18 men and 10 women who had une...
PURPOSE: To develop and evaluate the colposcopy based deep learning model using all kinds of cervica...
This study is aimed at evaluating a deep transfer learning-based model for identifying diabetic reti...
Persistent infection with high-risk types Human Papillomavirus could cause diseases including cervic...
INTRODUCTION: Cervical cancer remains a major public health challenge in low- and middle-income coun...
There is limited access to effective cervical cancer screening programs in many resource-limited set...
Since the 2019 novel coronavirus disease (COVID-19) outbreak in 2019 and the pandemic continues for ...
The contemporary market creates a demand for continuous improvement of production, service, and mana...
Corneal opacities are important causes of blindness, and their major etiology is infectious keratiti...
PURPOSE: To compare image quality in prostate MRI among standard T2-weighted imaging (T2-std), accel...
Conventional artificial neural network (ANN) learning algorithms for classification tasks, either de...