Artificial Intelligence Medical Compendium

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

Showing 61,061 to 61,070 of 228,300 articles

Advancing Brain Tumor Diagnosis Using Deep Learning: A Systematic Review on Glioma Segmentation and Classification on Multiparametric MRI

medRxiv Jan 15, 2026
Brain tumors are among the most lethal cancers with gliomas representing the most morphologically complex type. Precise and time efficient glioma segmentation and classification are essential for accurate diagnosis, treatment planning, and patient mo... read more 
radiology and imaging

Achieving Expert-Level Clinical Infection Detection with LLMs from Clinical Documents: Validation in Complex Patient Cases with Cirrhosis

medRxiv Jan 15, 2026
BackgroundSystemic infections are a leading cause of hospitalization and death among patients with cirrhosis. Timely and accurate infection identification is essential for both clinical care and the development of predictive models. However, existing... read more 
gastroenterology

Identification of Subgroups of Individuals Experiencing Patellofemoral Pain with Kinematic and Kinetic Features During Overground Running

medRxiv Jan 15, 2026
Patellofemoral pain (PFP) is a common running related injury associated with several biomechanical factors such as altered kinematics and kinetics across lower extremity joints. Prior research suggests mechanisms for PFP may differ within those affec... read more 
rehabilitation medicine and physical therapy

Simulation of Natural Language from Brain Activity Using Wearable EEG and Deep Learning

medRxiv Jan 15, 2026
Severe motor impairments such as amyotrophic lateral sclerosis and locked-in syndrome lead to partial or complete loss of speech, severely restricting communication as voluntary motor control deteriorates. In this study, we developed a non-invasive, ... read more 
health systems and quality improvement

A Safety Report on GPT-5.2, Gemini 3 Pro, Qwen3-VL, Grok 4.1 Fast, Nano Banana Pro, and Seedream 4.5

arXiv Jan 15, 2026
The rapid evolution of Large Language Models (LLMs) and Multimodal Large Language Models (MLLMs) has driven major gains in reasoning, perception, and generation across language and vision, yet whether these advances translate into comparable improvem... read more 
Artificial Intelligence cs.CL cs.CV cs.LG

Enhancing the quality of gauge images captured in smoke and haze scenes through deep learning

arXiv Jan 15, 2026
Images captured in hazy and smoky environments suffer from reduced visibility, posing a challenge when monitoring infrastructures and hindering emergency services during critical situations. The proposed work investigates the use of the deep learning... read more 
Computer Vision and Pattern Recognition

Inference-time Physics Alignment of Video Generative Models with Latent World Models

arXiv Jan 15, 2026
State-of-the-art video generative models produce promising visual content yet often violate basic physics principles, limiting their utility. While some attribute this deficiency to insufficient physics understanding from pre-training, we find that t... read more 
Computer Vision and Pattern Recognition

DeepUrban: Interaction-Aware Trajectory Prediction and Planning for Automated Driving by Aerial Imagery

arXiv Jan 15, 2026
The efficacy of autonomous driving systems hinges critically on robust prediction and planning capabilities. However, current benchmarks are impeded by a notable scarcity of scenarios featuring dense traffic, which is essential for understanding and ... read more 
Computer Vision and Pattern Recognition

Representation-Aware Unlearning via Activation Signatures: From Suppression to Knowledge-Signature Erasure

arXiv Jan 15, 2026
Selective knowledge erasure from LLMs is critical for GDPR compliance and model safety, yet current unlearning methods conflate behavioral suppression with true knowledge removal, allowing latent capabilities to persist beneath surface-level refusals... read more 
Computation and Language cs.LG

Jordan-Segmentable Masks: A Topology-Aware definition for characterizing Binary Image Segmentation

arXiv Jan 15, 2026
Image segmentation plays a central role in computer vision. However, widely used evaluation metrics, whether pixel-wise, region-based, or boundary-focused, often struggle to capture the structural and topological coherence of a segmentation. In many ... read more 
Computer Vision and Pattern Recognition math.AT math.NA
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