Latest AI and machine learning research in medical education for healthcare professionals.
Accurate assessment of spheno-occipital synchondrosis (SOS) maturation is a key indicator of craniof...
The integration of Large Language Models (LLMs) into clinical decision support is critically obstruc...
Fine-tuning pretrained image classifiers is standard practice, yet which individual samples are forg...
Flow-based image generative models exhibit stable training and produce high quality samples when usi...
A key inefficiency in diffusion training occurs when a randomly initialized network, lacking visual ...
Large language models (LLMs) have demonstrated strong capabilities in medical question answering; ho...
Automated recognition of autistic behaviors in children is essential for early intervention and obje...
Existing visual grounding benchmarks primarily evaluate alignment between image regions and literal ...
Medical visual grounding serves as a crucial foundation for fine-grained multimodal reasoning and in...
Identification and quantification of myocardial scar is important for diagnosis and prognosis of car...
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...
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...
Accurate prediction of permeability tensors from pore-scale microstructure images is essential for s...
Visual-language models (VLMs) excel at data mappings, but real-world document heterogeneity and unst...
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...