Latest AI and machine learning research in medical ethics / professional responsibility for healthcare professionals.
The spiculation sign is one of the main signs to distinguish benign and malignant pulmonary nodules....
OBJECTIVE: Accurate bladder size estimation is an important clinical parameter that assists physicia...
BACKGROUND: Revisiting professionalism, both as a medical ideal and educational topic, this paper as...
Within artificial intelligence and machine learning, a generative model is a powerful tool for learn...
Photoacoustic tomography (PAT) is a noninvasive imaging modality combining the benefits of optical c...
Tracking the myotendinous junction (MTJ) in consecutive ultrasound images is crucial for understandi...
BACKGROUND: Clinical named entity recognition is the basic task of mining electronic medical records...
Industrial Internet of Things (IIoT) ensures reliable and efficient data exchanges among the industr...
Automated detection of curvilinear structures, e.g., blood vessels or nerve fibres, from medical and...
Mittag-Leffler stabilization is studied for fractional reaction-diffusion cellular neural networks (...
Artificial intelligence (AI) in nuclear medicine has gained significant traction and promises to be ...
The ubiquity of social media usage has led to exciting new technologies such as machine learning. Ma...
Disaster robotics is a growing field that is concerned with the design and development of robots for...
The real-time detection of pine cones in Korean pine forests is not only the data basis for the mech...
BACKGROUND: Textual corpora are extremely important for various NLP applications as they provide inf...
Cohen-Grossberg neural networks (CGNNs) play an important role in many applications and the stabiliz...
Hepatic steatosis droplet quantification with histology biopsies has high clinical significance for ...
The aim of this study is to investigate the usefulness of the anomaly detection method by one-class ...
Studies of medical flow imaging have technical limitations for accurate analysis of blood flow dynam...
The reconsolidation and extinction of aversive memories and their boundary conditions have been exte...
In recent years, powered by state-of-the-art achievements in a broad range of areas, machine learnin...