Artificial Intelligence Medical Compendium

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

Showing 50,961 to 50,970 of 225,062 articles

Visible and Hyperspectral Imaging for Quality Assessment of Milk: Property Characterisation and Identification

arXiv Feb 12, 2026
Rapid and non-destructive assessment of milk quality is crucial to ensuring both nutritional value and food safety. In this study, we investigated the potential of visible and hyperspectral imaging as cost-effective and quick-response alternatives to... read more 
Image and Video Processing cs.AI cs.LG

Free Lunch in Medical Image Foundation Model Pre-training via Randomized Synthesis and Disentanglement

arXiv Feb 12, 2026
Medical image foundation models (MIFMs) have demonstrated remarkable potential for a wide range of clinical tasks, yet their development is constrained by the scarcity, heterogeneity, and high cost of large-scale annotated datasets. Here, we propose ... read more 
Quantitative Methods cs.AI cs.LG

Variational Green's Functions for Volumetric PDEs

arXiv Feb 12, 2026
Green's functions characterize the fundamental solutions of partial differential equations; they are essential for tasks ranging from shape analysis to physical simulation, yet they remain computationally prohibitive to evaluate on arbitrary geometri... read more 
Graphics cs.LG

Predicting Dynamic Map States from Limited Field-of-View Sensor Data

arXiv Feb 12, 2026
When autonomous systems are deployed in real-world scenarios, sensors are often subject to limited field-of-view (FOV) constraints, either naturally through system design, or through unexpected occlusions or sensor failures. In conditions where a lar... read more 
Robotics

Thermal Imaging for Contactless Cardiorespiratory and Sudomotor Response Monitoring

arXiv Feb 12, 2026
Thermal infrared imaging captures skin temperature changes driven by autonomic regulation and can potentially provide contactless estimation of electrodermal activity (EDA), heart rate (HR), and breathing rate (BR). While visible-light methods addres... read more 
Computer Vision and Pattern Recognition

Synthetic Image Detection with CLIP: Understanding and Assessing Predictive Cues

arXiv Feb 12, 2026
Recent generative models produce near-photorealistic images, challenging the trustworthiness of photographs. Synthetic image detection (SID) has thus become an important area of research. Prior work has highlighted how synthetic images differ from re... read more 
Computer Vision and Pattern Recognition

Reproducing DragDiffusion: Interactive Point-Based Editing with Diffusion Models

arXiv Feb 12, 2026
DragDiffusion is a diffusion-based method for interactive point-based image editing that enables users to manipulate images by directly dragging selected points. The method claims that accurate spatial control can be achieved by optimizing a single d... read more 
Computer Vision and Pattern Recognition cs.AI cs.LG

MonoLoss: A Training Objective for Interpretable Monosemantic Representations

arXiv Feb 12, 2026
Sparse autoencoders (SAEs) decompose polysemantic neural representations, where neurons respond to multiple unrelated concepts, into monosemantic features that capture single, interpretable concepts. However, standard training objectives only weakly ... read more 
Computer Vision and Pattern Recognition

MiDAS: A Multimodal Data Acquisition System and Dataset for Robot-Assisted Minimally Invasive Surgery

arXiv Feb 12, 2026
Background: Robot-assisted minimally invasive surgery (RMIS) research increasingly relies on multimodal data, yet access to proprietary robot telemetry remains a major barrier. We introduce MiDAS, an open-source, platform-agnostic system enabling tim... read more 
Robotics cs.CV cs.LG

Identification of key biomarkers for initial corticosteroid resistance in newly diagnosed primary immune thrombocytopenia.

Experimental hematology Feb 12, 2026
Corticosteroid resistance is a major obstacle to the management of patients with primary immune thrombocytopenia (ITP), as the factors contributing to the variability in treatment response remain largely unknown. We analyzed a broad set of plasma pro... read more 
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