Latest AI and machine learning research in identifying and reporting child abuse for healthcare professionals.
Activity-dependent synaptic plasticity is a fundamental learning mechanism that shapes connectivity ...
Continuous glucose monitoring (CGM) systems play a crucial role in diabetes care. Yet, they focus so...
Biomechanical biofeedback has the potential to enhance rehabilitation by providing clinicians with o...
Single-cell profiling provides snapshots of the heterogeneous states that characterise developmental...
Marked variability in inpatient hospitalization costs poses significant challenges to healthcare qua...
The critical need for accessible patient data in clinical research is often hindered by privacy regu...
BACKGROUND: Elder self-neglect (ESN) is usually ignored as a private problem and impairs the health ...
MOTIVATION: T-cell receptors (TCRs) elicit and mediate the adaptive immune response by recognizing a...
The in-image machine translation task involves translating text embedded within images, with the t...
Few-shot anomaly detection (FSAD) aims to detect unseen anomaly regions with the guidance of very ...
When given two similar images, humans identify their differences by comparing the appearance ({\it...
Direct Preference Optimization (DPO) has been demonstrated to be highly effective in mitigating ha...
Human trafficking (HT) remains a critical issue, with traffickers increasingly leveraging online e...
Images captured in severe low-light circumstances often suffer from significant information absenc...
Recent medical vision-language models (VLMs) have shown promise in 2D medical image interpretation...
Medical image segmentation is crucial in modern medical image analysis, which can aid into diagnos...
Infrared-visible object detection (IVOD) seeks to harness the complementary information in infrare...
The subtlety of emotional expressions makes implicit emotion analysis (IEA) particularly sensitive...
Single image super-resolution (SR) has long posed a challenge in the field of computer vision. Whi...
Recent research on real-time object detectors (e.g., YOLO series) has demonstrated the effectivene...
The advancement of Large Vision-Language Models (LVLMs) has propelled their application in the med...