Artificial Intelligence Medical Compendium

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

Showing 22,711 to 22,720 of 216,842 articles

Label-Efficient School Detection from Aerial Imagery via Weakly Supervised Pretraining and Fine-Tuning

arXiv May 5, 2026
Accurate school detection is essential for supporting education initiatives, including infrastructure planning and expanding internet connectivity to underserved areas. However, many regions around the world face challenges due to outdated, incomplet... read more 
Computer Vision and Pattern Recognition cs.AI cs.LG

3D Human Face Reconstruction with 3DMM face model from RGB image

arXiv May 5, 2026
Nowadays as convolution neural networks demonstrate its powerful problem-solving ability in the area of image processing, efforts have been made to reconstruct detailed face shapes from 2D face images or videos. However, to make the full use of CNN, ... read more 
Computer Vision and Pattern Recognition cs.GR

Enhanced 3D Brain Tumor Segmentation Using Assorted Precision Training

arXiv May 5, 2026
A brain tumor is a medical disorder faced by individuals of all demographics. Medically, it is described as the spread of non-essential cells close to or throughout the brain. Symptoms of this ailment include headaches, seizures, and sensory changes.... read more 
Computer Vision and Pattern Recognition cs.LG

Large-Scale High-Quality 3D Gaussian Head Reconstruction from Multi-View Captures

arXiv May 5, 2026
We propose HeadsUp, a scalable feed-forward method for reconstructing high-quality 3D Gaussian heads from large-scale multi-camera setups. Our method employs an efficient encoder-decoder architecture that compresses input views into a compact latent ... read more 
Computer Vision and Pattern Recognition cs.LG

Safety and accuracy follow different scaling laws in clinical large language models

arXiv May 5, 2026
Clinical LLMs are often scaled by increasing model size, context length, retrieval complexity, or inference-time compute, with the implicit expectation that higher accuracy implies safer behavior. This assumption is incomplete in medicine, where a fe... read more 
Computation and Language cs.AI cs.LG

Large Language Models are Universal Reasoners for Visual Generation

arXiv May 5, 2026
Text-to-image generation has advanced rapidly with diffusion models, progressing from CLIP and T5 conditioning to unified systems where a single LLM backbone handles both visual understanding and generation. Despite the architectural unification, the... read more 
Computer Vision and Pattern Recognition

UniCorrn: Unified Correspondence Transformer Across 2D and 3D

arXiv May 5, 2026
Visual correspondence across image-to-image (2D-2D), image-to-point cloud (2D-3D), and point cloud-to-point cloud (3D-3D) geometric matching forms the foundation for numerous 3D vision tasks. Despite sharing a similar problem structure, current metho... read more 
Computer Vision and Pattern Recognition

Evaluation of Large-Language Models for Structured Feature Extraction of Anatomic and Clinical Pathology Reports.

Clinical chemistry May 5, 2026
BACKGROUND: Feature extraction via manual chart review is often used for both patient care and research, but it is time-intensive and costly. Recent improvements in natural language processing present novel opportunities to perform high-throughput au... read more 

Automated full-text screening and accelerated reviews using large language models with context-aware agents: an exploratory analysis in biomarker research.

European heart journal. Digital health May 5, 2026
AIMS: Artificial intelligence (AI) tools utilizing large language models (LLMs) can accelerate scientific literature reviews by automating title, abstract, and full-text-based screenings of relevant patient populations and biomarkers. We developed an... read more 

Deep learning model for genotype prediction from echocardiographic videos in non-ischaemic dilated cardiomyopathy.

European heart journal. Digital health May 5, 2026
AIMS: Non-ischaemic dilated cardiomyopathy (DCM) is frequently characterized by the presence of pathogenic germline variants, and genotype positivity predicts poor prognosis. Despite its importance, genetic testing remains underutilized in the curren... read more 
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