Latest AI and machine learning research in medical ethics / professional responsibility for healthcare professionals.
Progress in artificial intelligence-based analysis of surgical videos has been constrained by relian...
Large language models (LLMs) are increasingly used in randomized clinical trial (RCT) screening, but...
Timely linkage to HIV prevention and treatment services following HIV self-testing (HIVST) remains a...
Sedentarism is prevalent and associated with poorer mental and physical health. Whether everyday phy...
Open-vocabulary segmentation aims to identify and segment specific regions and objects based on te...
Semantic communication (SemCom) is regarded as a promising and revolutionary technology in 6G, aim...
Medical image segmentation plays a crucial role in computer-aided diagnosis. By segmenting pathologi...
Precision medicine significantly enhances patients prognosis, offering personalized treatments. Part...
The rapid development and integration of interconnected healthcare devices and communication network...
Precision agriculture leverages data and machine learning so that farmers can monitor their crops ...
Camouflaged object detection (COD) aims to identify objects in images that are well hidden in the ...
This paper presents an incomplete Octree mesh implementation of the Shifted Boundary Method (Octre...
The proliferation of healthcare data has expanded opportunities for collaborative research, yet st...
Finger vein recognition (FVR) has emerged as a secure biometric technique because of the confident...
Objective: To develop a novel deep learning framework for the automated segmentation of colonic po...
Automatic prohibited item detection in X-ray images is crucial for public safety. However, most ex...
Creating fully annotated labels for medical image segmentation is prohibitively time-intensive and...
Unsupervised anomaly detection methods can identify surface defects in industrial images by levera...
Electrical impedance tomography (EIT) is a non-invasive imaging technique, capable of reconstructi...
Open intent classification is critical for the development of dialogue systems, aiming to accurate...
Annotation of medical images, such as MRI and CT scans, is crucial for evaluating treatment effica...