Latest AI and machine learning research in medical education for healthcare professionals.
Biological systems are governed by coupled interactions between intracellular metabolism and bioreac...
Simulation-based methods such as approximate Bayesian computation (ABC) are widely used to infer the...
Large language models can generate scientific simulation code, but the generated code silently fails...
We present Doctorina MedBench, a comprehensive evaluation framework for agent-based medical AI based...
Recent advances in multimodal vision-language models (VLMs) have enabled joint reasoning over visual...
Physics-informed neural networks (PINNs) are increasingly used in mathematical epidemiology to bridg...
Miscalibrated confidence scores are a practical obstacle to deploying AI in clinical settings. A mod...
Automated radiology report generation from 3D computed tomography (CT) volumes is challenging due to...
Regressing 3D rotations of objects from 2D images is a crucial yet challenging task, with broad appl...
Spatial transcriptomics (ST) enables spot-level in situ expression profiling, but its high cost and ...
Semantic-aware 3D reconstruction from sparse, unposed images remains challenging for feed-forward 3D...
Accurate prediction of permeability tensors from pore-scale microstructure images is essential for s...
Urban flooding poses an escalating threat to transportation network continuity, yet no operational s...
Visual-language models (VLMs) excel at data mappings, but real-world document heterogeneity and unst...
3D intraoral scans (IOS) are increasingly adopted in routine dentistry due to abundant geometric evi...
Learning in simulation provides a useful foundation for scaling robotic manipulation capabilities. H...
We present HSImul3R, a unified framework for simulation-ready 3D reconstruction of human-scene inter...
Evaluation of Large Language Models (LLMs) and their clinical competence has mainly focused on conve...
The rapid evolution of clinical guidelines and artificial intelligence has created a velocity gap in...
Reinforcement learning (RL) has emerged as a promising paradigm for enhancing image editing and text...
Medical vision-language pretraining (VLP) models have recently been investigated for their generaliz...