Latest AI and machine learning research in medical education for healthcare professionals.
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...
Automated pediatric electrocardiogram (ECG) diagnosis remains challenging because models trained pre...
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,...
Reconstructing 3D scenes from sparse, unposed images remains challenging under real-world conditions...
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...
Recent image editing models have achieved strong visual fidelity but often struggle with tasks requi...
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...
Urban transportation systems face growing safety challenges that require scalable intelligence for e...
Synthetic image generation is one of the crucial input for planetary missions. It enables researcher...
Recent text-to-image (T2I) models have demonstrated impressive capabilities in photorealistic synthe...
Closed-loop simulation is a core component of autonomous vehicle (AV) development, enabling scalable...
Vision-Language-Action (VLA) models drive next-generation autonomous systems, but training them requ...
The rapid progress of subject-driven text-to-image synthesis, and in particular DreamBooth, has enab...
Vision-Language Models (VLMs) achieve strong cross-modal performance, yet recent evidence suggests t...
Fine-grained image retrieval via hand-drawn sketches or textual descriptions remains a critical chal...
Segmentation is a critical task in computational pathology, as it identifies areas affected by disea...