Artificial Intelligence Medical Compendium

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

Showing 60,591 to 60,600 of 228,072 articles

Generating metamers of human scene understanding

arXiv Jan 16, 2026
Human vision combines low-resolution "gist" information from the visual periphery with sparse but high-resolution information from fixated locations to construct a coherent understanding of a visual scene. In this paper, we introduce MetamerGen, a to... read more 
Computer Vision and Pattern Recognition cs.AI

Conformal Point and the Calibrated Conic

arXiv Jan 16, 2026
This gives some information about the conformal point and the calibrating conic, and their relationship one to the other. These concepts are useful for visualizing image geometry, and lead to intuitive ways to compute geometry, such as angles and dir... read more 
Computer Vision and Pattern Recognition

Mobile-friendly Image de-noising: Hardware Conscious Optimization for Edge Application

arXiv Jan 16, 2026
Image enhancement is a critical task in computer vision and photography that is often entangled with noise. This renders the traditional Image Signal Processing (ISP) ineffective compared to the advances in deep learning. However, the success of such... read more 
Image and Video Processing cs.AI cs.CV

Towards Efficient Image Deblurring for Edge Deployment

arXiv Jan 16, 2026
Image deblurring is a critical stage in mobile image signal processing pipelines, where the ability to restore fine structures and textures must be balanced with real-time constraints on edge devices. While recent deep networks such as transformers a... read more 
Image and Video Processing cs.AI cs.CV

Bridging Modalities: Joint Synthesis and Registration Framework for Aligning Diffusion MRI with T1-Weighted Images

arXiv Jan 16, 2026
Multimodal image registration between diffusion MRI (dMRI) and T1-weighted (T1w) MRI images is a critical step for aligning diffusion-weighted imaging (DWI) data with structural anatomical space. Traditional registration methods often struggle to ens... read more 
Image and Video Processing cs.CV

Explainable histomorphology-based survival prediction of glioblastoma, IDH-wildtype

arXiv Jan 16, 2026
Glioblastoma, IDH-wildtype (GBM-IDHwt) is the most common malignant brain tumor. Histomorphology is a crucial component of the integrated diagnosis of GBM-IDHwt. Artificial intelligence (AI) methods have shown promise to extract additional prognostic... read more 
Image and Video Processing cs.LG q-bio.QM

Development of a machine learning model to predict intensive care unit bed demand for adult elective surgical patients at a large United Kingdom National Health Service Trust.

BJA open Jan 16, 2026
BACKGROUND: Elective surgical admissions form a growing share of demand for ICU beds, a constrained resource. Capacity planning for these admissions is feasible, but hospitals often lack reliable systems estimating daily elective surgical ICU bed dem... read more 

Activating the SDF-1/CXCR4 axis: Notoginsenoside R1-Functionalized zinc scaffolds accelerate fracture healing and angiogenesis in diabetic osteoporosis.

Biomaterials Jan 16, 2026
Effective treatment of diabetic osteoporotic fractures (DOF) requires biomaterials capable of promoting vascularized bone regeneration. A biodegradable porous zinc (Zn) scaffold incorporating sustained-release Notoginsenoside R1 (NGR1), referred to a... read more 

Siamese networks in Raman spectroscopy: Towards a better performance against replicate variability.

Talanta Jan 16, 2026
The power of Raman spectroscopy is largely enhanced by machine learning and chemometrics, which extract and translate the spectral features into high-level biological or clinical knowledge by constructing classical or deep learning models. The genera... read more 

CoCoFR: Collaborative codebooks learning with soft matching strategy for blind face restoration.

Neural networks : the official journal of the International Neural Network Society Jan 16, 2026
Blind Face Restoration (BFR) has garnered considerable attention for its practical applicability to recover high-quality (HQ) facial images from their degraded versions. Existing BFR methods primarily incorporate diverse priors to mitigate its ill-po... read more 
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