Artificial Intelligence Medical Compendium

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

Showing 61,401 to 61,410 of 229,091 articles

XRefine: Attention-Guided Keypoint Match Refinement

arXiv Jan 18, 2026
Sparse keypoint matching is crucial for 3D vision tasks, yet current keypoint detectors often produce spatially inaccurate matches. Existing refinement methods mitigate this issue through alignment of matched keypoint locations, but they are typicall... read more 
Computer Vision and Pattern Recognition

BirdsEye-RU: A Dataset For Detecting Faces from Overhead Images

arXiv Jan 18, 2026
Detecting faces in overhead images remains a significant challenge due to extreme scale variations and environmental clutter. To address this, we created the BirdsEye-RU dataset, a comprehensive collection of 2,978 images containing over eight thousa... read more 
Computer Vision and Pattern Recognition

Press Start to Charge: Videogaming the Online Centralized Charging Scheduling Problem

arXiv Jan 18, 2026
We study the online centralized charging scheduling problem (OCCSP). In this problem, a central authority must decide, in real time, when to charge dynamically arriving electric vehicles (EVs), subject to capacity limits, with the objective of balanc... read more 
Machine Learning

PISE: Physics-Anchored Semantically-Enhanced Deep Computational Ghost Imaging for Robust Low-Bandwidth Machine Perception

arXiv Jan 18, 2026
We propose PISE, a physics-informed deep ghost imaging framework for low-bandwidth edge perception. By combining adjoint operator initialization with semantic guidance, PISE improves classification accuracy by 2.57% and reduces variance by 9x at 5% s... read more 
Computer Vision and Pattern Recognition eess.IV

Artificial Intelligence in Materials Science and Engineering: Current Landscape, Key Challenges, and Future Trajectorie

arXiv Jan 18, 2026
Artificial Intelligence is rapidly transforming materials science and engineering, offering powerful tools to navigate complexity, accelerate discovery, and optimize material design in ways previously unattainable. Driven by the accelerating pace of ... read more 
Materials Science cs.AI physics.comp-ph quant-ph

Life, Machine Learning, and the Search for Habitability: Predicting Biosignature Fluxes for the Habitable Worlds Observatory

arXiv Jan 18, 2026
Future direct-imaging flagship missions, such as NASA's Habitable Worlds Observatory (HWO), face critical decisions in prioritizing observations due to extremely stringent time and resource constraints. In this paper, we introduce two advanced machin... read more 
Machine Learning cs.AI cs.CV

HERMES: A Unified Open-Source Framework for Realtime Multimodal Physiological Sensing, Edge AI, and Intervention in Closed-Loop Smart Healthcare Applications

arXiv Jan 18, 2026
Intelligent assistive technologies are increasingly recognized as critical daily-use enablers for people with disabilities and age-related functional decline. Longitudinal studies, curation of quality datasets, live monitoring in activities of daily ... read more 
Systems and Control cs.LG

Automated Assessment of OSCE Physical Exams using Multimodal AI

medRxiv Jan 18, 2026
Background The assessment of physical examination skills in medical education is resource-intensive and prone to inter-rater variability. While artificial intelligence (AI) has successfully automated the grading of clinical notes and transcripts, eva... read more 
medical education

STRUCT2SEQ: RNA INVERSE FOLDING WITH DEEP Q-LEARNING

bioRxiv Jan 18, 2026
RNA molecules play critical roles in biology and therapeutics, with their function intimately tied to their secondary structure. Designing RNA sequences that reliably fold into desired secondary structures, especially those with complex pseudoknots, ... read more 
biophysics

Fundamental limitations of genomic language models for realistic sequence generation

bioRxiv Jan 18, 2026
Large language models (LLMs) have shown remarkable success in natural language processing, prompting interest in their application to genomic sequence analysis. Genomic Language Models based on similar architectures offer a promising avenue for synth... read more 
synthetic biology
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