Artificial Intelligence Medical Compendium

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

Showing 52,511 to 52,520 of 225,341 articles

VLM-UQBench: A Benchmark for Modality-Specific and Cross-Modality Uncertainties in Vision Language Models

arXiv
Uncertainty quantification (UQ) is vital for ensuring that vision-language models (VLMs) behave safely and reliably. A central challenge is to localize uncertainty to its source, determining whether it arises from the image, the text, or misalignment... read more 

Barycentric alignment for instance-level comparison of neural representations

arXiv
Comparing representations across neural networks is challenging because representations admit symmetries, such as arbitrary reordering of units or rotations of activation space, that obscure underlying equivalence between models. We introduce a baryc... read more 

Beyond the Unit Hypersphere: Embedding Magnitude in Contrastive Learning

arXiv
Cosine similarity is prevalent in contrastive learning, yet it makes an implicit assumption: embedding magnitude is noise. Prior work occasionally found dot product and cosine similarity comparable, but left unanswered WHAT information magnitude carr... read more 

Feature salience -- not task-informativeness -- drives machine learning model explanations

arXiv
Explainable AI (XAI) promises to provide insight into machine learning models' decision processes, where one goal is to identify failures such as shortcut learning. This promise relies on the field's assumption that input features marked as important... read more 

VLM-Guided Iterative Refinement for Surgical Image Segmentation with Foundation Models

arXiv
Surgical image segmentation is essential for robot-assisted surgery and intraoperative guidance. However, existing methods are constrained to predefined categories, produce one-shot predictions without adaptive refinement, and lack mechanisms for cli... read more 

Rethinking Global Text Conditioning in Diffusion Transformers

arXiv
Diffusion transformers typically incorporate textual information via attention layers and a modulation mechanism using a pooled text embedding. Nevertheless, recent approaches discard modulation-based text conditioning and rely exclusively on attenti... read more 

Comparing Generative Artificial Intelligence vs Experts for Detection of Catheter-Associated Urinary Tract Infection.

Clinical infectious diseases : an official publication of the Infectious Diseases Society of America
A retrospective cohort study compared generative artificial intelligence (GenAI) versus infection control expert for catheter-associated urinary tract infection (CAUTI) detection. Sensitivity was 95.2% (20/21), and specificity was 76.2% (16/21), impr... read more 

Coronary revascularization: a long-term perspective.

European heart journal
This paper will forecast advancements in coronary revascularization by 2040, drawing on historical trends and recent breakthroughs. Having forecasted in 2000 the impact of innovations like drug-eluting stents, coronary computed tomography angiography... read more 

Advances in Synovial Fluid Analysis for the Diagnosis of Crystal Arthropathies.

Arthritis care & research
Synovial fluid analysis remains to be a critical aspect of the diagnosis of crystal arthropathies. The gold standard, compensated polarized light microscopy (CPLM), has significant shortcomings due to poor reproducibility and improper training of spe... read more 

AI and flow cytometry.

Journal of immunology (Baltimore, Md. : 1950)
Artificial intelligence (AI) and machine learning (ML) are transforming biotechnology and playing a key role in bioeconomy. One of the most important measurement capabilities at the forefront of biotechnology innovations is flow cytometry (FCM), a hi... read more