Artificial Intelligence Medical Compendium
Explore the latest research on artificial intelligence and machine learning in medicine.
Showing 261 to 270 of 157,320 articles
Dynamic Rank Adaptation for Vision-Language Models
arXiv
Jul 8, 2025
Pre-trained large vision-language models (VLMs) like CLIP demonstrate
impressive generalization ability. Existing prompt-based and adapter-based
works have made significant progress in fine-tuning VLMs but still face the
challenges of maintaining s...
Tissue Concepts v2: a Supervised Foundation Model for whole slide images
arXiv
Jul 8, 2025
Foundation models (FMs) are transforming the field of computational pathology
by offering new approaches to analyzing histopathology images. Typically
relying on weeks of training on large databases, the creation of FMs is a
resource-intensive proc...
Enhancing AI Readiness in Pediatric Surgery: Impact of a Targeted Workshop on Knowledge and Competencies.
European journal of pediatric surgery : official journal of Austrian Association of Pediatric Surgery ... [et al] = Zeitschrift fur Kinderchirurgie
Jul 8, 2025
INTRODUCTION: Despite an awareness of the transformative potential of Artificial Intelligence (AI) in healthcare, its development in pediatric surgery seems slow. One major reason may be a lack of formal AI-training. This study assesses the basic AI ...
Unveiling Bias in Distilled Artificial Intelligence Models: Ethical and Clinical Impacts on Decision-Making and Medical Auditing.
Journal of medical systems
Jul 8, 2025
Development of a deep learning model for predicting skeletal muscle density from ultrasound data: a proof-of-concept study.
La Radiologia medica
Jul 8, 2025
Reduced muscle mass and function are associated with increased morbidity, and mortality. Ultrasound, despite being cost-effective and portable, is still underutilized in muscle trophism assessment due to its reliance on operator expertise and measure...
GTA1: GUI Test-time Scaling Agent
arXiv
Jul 8, 2025
Graphical user interface (GUI) agents autonomously operate across platforms
(e.g., Linux) to complete tasks by interacting with visual elements.
Specifically, a user instruction is decomposed into a sequence of action
proposals, each corresponding ...
LangMamba: A Language-driven Mamba Framework for Low-dose CT Denoising with Vision-language Models
arXiv
Jul 8, 2025
Low-dose computed tomography (LDCT) reduces radiation exposure but often
degrades image quality, potentially compromising diagnostic accuracy. Existing
deep learning-based denoising methods focus primarily on pixel-level mappings,
overlooking the p...
MTMedFormer: multi-task vision transformer for medical imaging with federated learning.
Medical & biological engineering & computing
Jul 8, 2025
Deep learning has revolutionized medical imaging, improving tasks like image segmentation, detection, and classification, often surpassing human accuracy. However, the training of effective diagnostic models is hindered by two major challenges: the n...
Tora2: Motion and Appearance Customized Diffusion Transformer for Multi-Entity Video Generation
arXiv
Jul 8, 2025
Recent advances in diffusion transformer models for motion-guided video
generation, such as Tora, have shown significant progress. In this paper, we
present Tora2, an enhanced version of Tora, which introduces several design
improvements to expand ...
Assessment of T2-weighted MRI-derived synthetic CT for the detection of suspected lumbar facet arthritis: a comparative analysis with conventional CT.
European spine journal : official publication of the European Spine Society, the European Spinal Deformity Society, and the European Section of the Cervical Spine Research Society
Jul 8, 2025
PURPOSE: We evaluated sCT generated from T2-weighted imaging (T2WI) using deep learning techniques to detect structural lesions in lumbar facet arthritis, with conventional CT as the reference standard.
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