Latest AI and machine learning research in medical ethics / professional responsibility for healthcare professionals.
As a common disease in the elderly, neural foramina stenosis (NFS) brings a significantly negative i...
Automated pancreas segmentation in medical images is a prerequisite for many clinical applications, ...
Brain amyloid burden may be quantitatively assessed from positron emission tomography imaging using ...
This paper proposed a shot boundary detection approach using Genetic Algorithm and Fuzzy Logic. In t...
Robust and fast solutions for anatomical object detection and segmentation support the entire clinic...
Over the last 20 years, supervised injectable and inhalable heroin prescribing has been developed, t...
Identification and detection of dendritic spines in neuron images are of high interest in diagnosis ...
Following the unconventional gas revolution, the forecasting of natural gas prices has become increa...
This study aims to secure medical data by combining them into one file format using steganographic m...
OBJECTIVE: Previous work has shown that increasing the production of boundary lubricant, superficial...
Hedge detection is used to distinguish uncertain information from facts, which is of essential impor...
Support Vector Machines (SVMs) form a family of popular classifier algorithms originally developed t...
Patient-specific blood flow modeling combining imaging data and computational fluid dynamics can aid...
Preterm birth has been shown to induce an altered developmental trajectory of brain structure and fu...
Shape based active contours have emerged as a natural solution to overlap resolution. However, most ...
Background.Renoprotective therapies - SGLT2 inhibitors, finerenone, and renin-angiotensin system inh...
Background and Purpose: Drug resistant epilepsy (DRE) affects approximately 15 million people worldw...
Large language models are typically evaluated under fixed instruction contexts, implicitly treating ...
Background: Professionalism and effective communication are foundational determinants of patient saf...
Biomedical image segmentation is a critical task in medical diagnosis and treatment planning, enabli...
Decision trees partition the feature space using hard binary thresholds, assigning identical confide...