Latest AI and machine learning research in smoking & tobacco for healthcare professionals.
Vision Graph Neural Networks (ViGs) represent an image as a graph of patch tokens, enabling adaptive...
Large Multimodal Models (LMMs) such as LLaVA are typically trained with an autoregressive language m...
Despite recent progress, vision-language encoders struggle with two core limitations: (1) weak align...
Breast cancer diagnosis demands rapid and precise tools, yet traditional histopathological methods o...
Background: The Adolescent Brain Cognitive Development (ABCD) Study provides rich longitudinal data ...
Vision transformers (ViT) have been shown to allow for more flexible feature detection and can outpe...
In diagnostic reports, experts encode complex imaging data into clinically actionable information. T...
3D Gaussian Splatting (3DGS) has recently enabled highly photorealistic 3D reconstruction from casua...
Recent progress in vision-language pretraining has enabled significant improvements to many downstre...
Whole-slide image (WSI) classification in computational pathology is commonly formulated as slide-le...
Remote sensing understanding inherently requires multi-resolution observation, since different targe...
Perturbation-based explainability methods such as KernelSHAP provide model-agnostic attributions but...
Face Anti-Spoofing (FAS) algorithms, designed to secure face recognition systems against spoofing, s...
Ask a frontier model how to taper six milligrams of alprazolam (psychiatrist retired, ten days of pi...
Deep learning has been widely applied to 3D medical image segmentation tasks. However, due to the di...
Multiple Instance Learning (MIL) is the dominant framework for gigapixel whole-slide image (WSI) cla...
Background: Colorectal cancer (CRC) remains a leading cause of cancer-related mortality worldwide. A...
Breast cancer is a highly heterogeneous disease with diverse molecular profiles. The PAM50 gene sign...
Transformer-based architectures have become the shared backbone of natural language processing and c...
Background: Oral health remains inadequately integrated within the Ayushman Bharat Digital Mission (...
Purpose: To evaluate whether chest radiograph-derived age acceleration is associated with incident l...