Artificial Intelligence Medical Compendium

Explore the latest research on artificial intelligence and machine learning in medicine.

Showing 29,321 to 29,330 of 219,931 articles

MetaCloak-JPEG: JPEG-Robust Adversarial Perturbation for Preventing Unauthorized DreamBooth-Based Deepfake Generation

arXiv
The rapid progress of subject-driven text-to-image synthesis, and in particular DreamBooth, has enabled a consent-free deepfake pipeline: an adversary needs only 4-8 publicly available face images to fine-tune a personalized diffusion model and produ... read more 

Advancing Vision Transformer with Enhanced Spatial Priors

arXiv
In recent years, the Vision Transformer (ViT) has garnered significant attention within the computer vision community. However, the core component of ViT, Self-Attention, lacks explicit spatial priors and suffers from quadratic computational complexi... read more 

AnchorSeg: Language Grounded Query Banks for Reasoning Segmentation

arXiv
Reasoning segmentation requires models to ground complex, implicit textual queries into precise pixel-level masks. Existing approaches rely on a single segmentation token $\texttt{}$, whose hidden state implicitly encodes both semantic reasoning... read more 

A multimodal and temporal foundation model for virtual patient representations at healthcare system scale

arXiv
Modern medicine generates vast multimodal data across siloed systems, yet no existing model integrates the full breadth and temporal depth of the clinical record into a unified patient representation. We introduce Apollo, a multimodal temporal founda... read more 

Back into Plato's Cave: Examining Cross-modal Representational Convergence at Scale

arXiv
The Platonic Representation Hypothesis suggests that neural networks trained on different modalities (e.g., text and images) align and eventually converge toward the same representation of reality. If true, this has significant implications for wheth... read more 

T-REN: Learning Text-Aligned Region Tokens Improves Dense Vision-Language Alignment and Scalability

arXiv
Despite recent progress, vision-language encoders struggle with two core limitations: (1) weak alignment between language and dense vision features, which hurts tasks like open-vocabulary semantic segmentation; and (2) high token counts for fine-grai... read more 

ReCap: Lightweight Referential Grounding for Coherent Story Visualization

arXiv
Story Visualization aims to generate a sequence of images that faithfully depicts a textual narrative that preserve character identity, spatial configuration, and stylistic coherence as the narratives unfold. Maintaining such cross-frame consistency ... read more 

Artificial Intelligence In The Diagnosis And Prediction Of Breast Cancer-Related Lymphedema: A Scoping Review.

Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer
INTRODUCTION: Lymphedema is a chronic complication of breast cancer treatments that can significantly impact the well-being of survivors. This scoping review aims to evaluate the role of artificial intelligence (AI) in enhancing diagnostic precision ... read more 

Machine learning for land use change analysis in environmental protection areas.

Environmental monitoring and assessment
Anthropogenic land use and land cover change (LULCC), combined with ongoing climate variability, poses significant challenges to environmental protection areas (EPAs) by altering ecosystem structure, degrading vegetation integrity, and disrupting loc... read more