Artificial Intelligence Medical Compendium

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

Showing 45,831 to 45,840 of 224,055 articles

Emerging Trends and Innovations in Radiologic Diagnosis of Thoracic Diseases.

Investigative radiology Mar 1, 2026
Over the past decade, Investigative Radiology has published numerous studies that have fundamentally advanced the field of thoracic imaging. This review summarizes key developments in imaging modalities, computational tools, and clinical applications... read more 

Factors associated with self-harm in patients with substance use disorders who died by suicide: national hybrid questionnaire registry study.

The British journal of psychiatry : the journal of mental science Mar 1, 2026
BACKGROUND: Self-harm, self-poisoning or self-injury, irrespective of the motivation, is a central risk factor for suicide. Still, there is limited knowledge of self-harm among patients with substance use disorders (SUDs) who die by suicide. AIMS: We... read more 

Clinical Neuroimaging Over the Last Decade: Achievements and What Lies Ahead.

Investigative radiology Mar 1, 2026
The past decade has witnessed notable advancements in clinical neuroimaging facilitated by technological innovations and significant scientific discoveries. In conjunction with Investigative Radiology 's 60th anniversary, this review examines key con... read more 

UD-SfPNet: An Underwater Descattering Shape-from-Polarization Network for 3D Normal Reconstruction

arXiv Mar 1, 2026
Underwater optical imaging is severely hindered by scattering, but polarization imaging offers the unique dual advantages of descattering and shape-from-polarization (SfP) 3D reconstruction. To exploit these advantages, this paper proposes UD-SfPNet,... read more 
Computer Vision and Pattern Recognition

VGGT-Det: Mining VGGT Internal Priors for Sensor-Geometry-Free Multi-View Indoor 3D Object Detection

arXiv Mar 1, 2026
Current multi-view indoor 3D object detectors rely on sensor geometry that is costly to obtain (i.e., precisely calibrated multi-view camera poses) to fuse multi-view information into a global scene representation, limiting deployment in real-world s... read more 
Computer Vision and Pattern Recognition

Improving Text-to-Image Generation with Intrinsic Self-Confidence Rewards

arXiv Mar 1, 2026
Text-to-image generation powers content creation across design, media, and data augmentation. Post-training of text-to-image generative models is a promising path to better match human preferences, factuality, and improved aesthetics. We introduce AR... read more 
Computer Vision and Pattern Recognition cs.AI

Learning to Weigh Waste: A Physics-Informed Multimodal Fusion Framework and Large-Scale Dataset for Commercial and Industrial Applications

arXiv Mar 1, 2026
Accurate weight estimation of commercial and industrial waste is important for efficient operations, yet image-based estimation remains difficult because similar-looking objects may have different densities, and the visible size changes with camera d... read more 
Computer Vision and Pattern Recognition

\textsc{Mobile-VTON}: High-Fidelity On-Device Virtual Try-On

arXiv Mar 1, 2026
Virtual try-on (VTON) has recently achieved impressive visual fidelity, but most existing systems require uploading personal photos to cloud-based GPUs, raising privacy concerns and limiting on-device deployment. To address this, we present \textsc{M... read more 
Computer Vision and Pattern Recognition

Forgetting is Competition: Rethinking Unlearning as Representation Interference in Diffusion Models

arXiv Mar 1, 2026
Unlearning in text-to-image diffusion models often leads to uneven concept removal and unintended forgetting of unrelated capabilities. This complicates tasks such as copyright compliance, protected data mitigation, artist opt-outs, and policy-driven... read more 
Machine Learning cs.AI

EraseAnything++: Enabling Concept Erasure in Rectified Flow Transformers Leveraging Multi-Object Optimization

arXiv Mar 1, 2026
Removing undesired concepts from large-scale text-to-image (T2I) and text-to-video (T2V) diffusion models while preserving overall generative quality remains a major challenge, particularly as modern models such as Stable Diffusion v3, Flux, and Open... read more 
Computer Vision and Pattern Recognition cs.AI
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