Artificial Intelligence Medical Compendium

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

Showing 1,711 to 1,720 of 165,003 articles

Towards Blind Bitstream-corrupted Video Recovery via a Visual Foundation Model-driven Framework

arXiv Jul 30, 2025
Video signals are vulnerable in multimedia communication and storage systems, as even slight bitstream-domain corruption can lead to significant pixel-domain degradation. To recover faithful spatio-temporal content from corrupted inputs, bitstream-... read more 
Image and Video Processing Artificial Intelligence Computer Vision and Pattern Recognition Multimedia

Optimizing space heating efficiency in sustainable building design a multi criteria decision making approach with model predictive control.

Scientific reports Jul 30, 2025
Efficient space heating is vital for sustainable building design, offering opportunities to reduce energy consumption and costs while maintaining thermal comfort. This study examines the optimization of space heating in a nearly-zero energy building ... read more 

trAIce3D: A Prompt-Driven Transformer Based U-Net for Semantic Segmentation of Microglial Cells from Large-Scale 3D Microscopy Images

arXiv Jul 30, 2025
The shape of a cell contains essential information about its function within the biological system. Segmenting these structures from large-scale 3D microscopy images is challenging, limiting clinical insights especially for microglia, immune-associ... read more 
Image and Video Processing Computer Vision and Pattern Recognition Machine Learning

Contour Flow Constraint: Preserving Global Shape Similarity for Deep Learning based Image Segmentation.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society Jul 30, 2025
For effective image segmentation, it is crucial to employ constraints informed by prior knowledge about the characteristics of the areas to be segmented to yield favorable segmentation outcomes. However, the existing methods have primarily focused on... read more 

Designing for Self-Regulation in Informal Programming Learning: Insights from a Storytelling-Centric Approach

arXiv Jul 30, 2025
Many people learn programming independently from online resources and often report struggles in achieving their personal learning goals. Learners frequently describe their experiences as isolating and frustrating, challenged by abundant uncertainti... read more 
Human-Computer Interaction Artificial Intelligence Computers and Society Software Engineering H.5.2; H.5.4

Nuclear quantum effects of metal surface-mediated C-H activation.

Physical chemistry chemical physics : PCCP Jul 30, 2025
The nuclear quantum effects of surface-mediated C-H activation of surface CH are considered for the pristine Pt(111) and Au(111) surfaces at 300 K. The kinetic barriers without nuclear quantum effects are calculated using both static density function... read more 

Predictive modeling of oil rate for wells under gas lift using machine learning.

Scientific reports Jul 30, 2025
Optimizing oil production in wells employing gas lift systems is a critical challenge due to the complex interplay of operational and reservoir parameters. This study aimed to develop robust predictive models for estimating oil production rates using... read more 

Predicting the clinical evolution of septic patients from routinely collected data and vital signs variability using machine learning.

Physiological measurement Jul 30, 2025
The existing literature lacks a comprehensive analysis of the clinical evolution of septic patients, which is highly heterogeneous and patient-dependent. The aim of this study is to develop machine learning models capable of predicting the clinical e... read more 
Humans Female Aged Machine Learning Intensive Care Units Vital Signs Middle Aged Sepsis Male

Clinician Perspectives of a Magnetic Resonance Imaging-Based 3D Volumetric Analysis Tool for Neurofibromatosis Type 2-Related Schwannomatosis: Qualitative Pilot Study.

JMIR human factors Jul 30, 2025
BACKGROUND: Accurate monitoring of tumor progression is crucial for optimizing outcomes in neurofibromatosis type 2-related schwannomatosis. Standard 2D linear analysis on magnetic resonance imaging is less accurate than 3D volumetric analysis, but s... read more 
Humans Surveys and Questionnaires Female Neurofibromatoses Imaging, Three-Dimensional Pilot Projects Skin Neoplasms Magnetic Resonance Imaging Neurofibromatosis 2 Qualitative Research Neurilemmoma

COOkeD: Ensemble-based OOD detection in the era of zero-shot CLIP

arXiv Jul 30, 2025
Out-of-distribution (OOD) detection is an important building block in trustworthy image recognition systems as unknown classes may arise at test-time. OOD detection methods typically revolve around a single classifier, leading to a split in the res... read more 
Computer Vision and Pattern Recognition Artificial Intelligence Machine Learning
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