Latest AI and machine learning research in surveys for healthcare professionals.
Stereo matching is one of the longest-standing problems in computer vision with close to 40 years of...
Intelligent user interfaces (IUI) are driven by the goal of improvement in human-computer interactio...
Disability is a component of social relations and the existence of social reality. An effective solu...
BACKGROUND: Questionnaires have been used in the past 2 decades to predict the diagnosis of vertigo ...
With the rapid development of the Internet, the massive amount of web textual data has grown exponen...
Due to wearables' popularity, human activity recognition (HAR) plays a significant role in people's ...
Artificial intelligence (AI) algorithms evaluating [supine] chest radiographs ([S]CXRs) have remarka...
As a typical disease, cardiovascular and cerebrovascular diseases cause great damage to the human bo...
Sensors are devices that output signals for sensing physical phenomena and are widely used in all as...
Deep learning methods provide state of the art performance for supervised learning based medical ima...
OBJECTIVE: We sought to evaluate the incidence and extent of orgasmic dysfunction in patients after ...
Deep learning (DL) has been employed for a wide range of tasks in dentistry. We aimed to systematica...
OBJECTIVES: Patient-based real-time quality control (PBRTQC) has gained attention as an alternative/...
Visual relationship detection (VRD) is one newly developed computer vision task, aiming to recognize...
Lithology identification plays an essential role in formation characterization and reservoir explora...
The use of robotics is a growing area within the field of surgery, especially in orthopaedics. To da...
Digital histopathology poses several challenges such as label noise, class imbalance, limited availa...
At present, the classification method used in image colour element analysis in China is still based ...
BACKGROUND: Few studies fairly compared anorectal function and prognostic outcomes between patients ...
Recently, the deep learning (DL) dimension of artificial intelligence has received much attention fr...
Hyperspectral imaging enables many versatile applications for its competence in capturing abundant s...