Latest AI and machine learning research in medical education for healthcare professionals.
Sparse-view 3D reconstruction is increasingly addressed with feed-forward splatting networks that pr...
Text-to-Image (T2I) generation has achieved remarkable progress in recent years. Meanwhile, reinforc...
A fast simulation of the detector response is a vital task in high-energy physics (HEP). Traditional...
We present VA-LLM, a 1.62-billion-parameter autoregressive transformer pre-trained from scratch on 1...
1. Classifying animal movement strategies from GPS tracking data is essential for understanding spac...
Large language models (LLMs) are increasingly used to simulate human behavior, but their ability to ...
Every molecule ever synthesised can be drawn as a 2D skeletal diagram, yet in modern property predic...
Pattern formation underlies biological organization across scales, but predicting experimentally obs...
Inferring cellular trajectories from destructive snapshots is complicated by the challenges of stoch...
Federated learning (FL) offers a promising framework for collaborative digital pathology by enabling...
Background: Alcohol-induced osteonecrosis of the femoral head (AIONFH) is an orthopedic disorder fro...
Simulating optical tactile sensors presents significant challenges due to their high deformability a...
Ultrasound interpretation requires both precise lesion localization and holistic clinical reasoning,...
Surgical training involves didactic teaching, mentor-led learning, surgical skills laboratories, and...
Standardized patients (SPs) are central to clinical communication training but are constrained by co...
Current visual text generation models struggle with the trade-off between text accuracy and overall ...
Low-cost FPGA platforms can broaden access to neuromorphic systems research, but current spiking neu...
Synthetic image generation is one of the crucial input for planetary missions. It enables researcher...
Closed-loop simulation is a core component of autonomous vehicle (AV) development, enabling scalable...
Letters of recommendation (LoRs) can carry patterns of implicitly gendered language that can inadver...
Background: The urgent care departments in Europe face a structural paradox: accelerating digitalisa...