#Medical Technology
Latest news articles tagged with "Medical Technology". Follow the timeline of events, related topics, and entities.
Articles (19)
-
🇺🇸 ClinDet-Bench: Beyond Abstention, Evaluating Judgment Determinability of LLMs in Clinical Decision-Making
[USA]
arXiv:2602.22771v1 Announce Type: new Abstract: Clinical decisions are often required under incomplete information. Clinical experts must identify whether available information is sufficient for judg...
Related: #Artificial Intelligence, #Decision Science -
🇺🇸 ODEBrain: Continuous-Time EEG Graph for Modeling Dynamic Brain Networks
[USA]
arXiv:2602.23285v1 Announce Type: new Abstract: Modeling neural population dynamics is crucial for foundational neuroscientific research and various clinical applications. Conventional latent variabl...
Related: #Neuroscience, #Artificial Intelligence -
🇺🇸 Learning geometry-dependent lead-field operators for forward ECG modeling
[USA]
arXiv:2602.22367v1 Announce Type: cross Abstract: Modern forward electrocardiogram (ECG) computational models rely on an accurate representation of the torso domain. The lead-field method enables fas...
Related: #Machine Learning, #Computational Modeling, #Healthcare Innovation -
🇺🇸 Form 144 ARTIVION For: 25 February
[USA]
Related: #Market Filings, #Tech Sector Volatility
-
🇺🇸 An artificial intelligence framework for end-to-end rare disease phenotyping from clinical notes using large language models
[USA]
arXiv:2602.20324v1 Announce Type: new Abstract: Phenotyping is fundamental to rare disease diagnosis, but manual curation of structured phenotypes from clinical notes is labor-intensive and difficult...
Related: #Artificial Intelligence, #Rare Disease Diagnosis, #Clinical Workflow -
🇺🇸 SurgAtt-Tracker: Online Surgical Attention Tracking via Temporal Proposal Reranking and Motion-Aware Refinement
[USA]
arXiv:2602.20636v1 Announce Type: cross Abstract: Accurate and stable field-of-view (FoV) guidance is critical for safe and efficient minimally invasive surgery, yet existing approaches often conflat...
Related: #Computer Vision, #Surgical Innovation -
🇺🇸 Tuberculosis Screening from Cough Audio: Baseline Models, Clinical Variables, and Uncertainty Quantification
[USA]
arXiv:2601.07969v2 Announce Type: replace-cross Abstract: In this paper, we propose a standardized framework for automatic tuberculosis (TB) detection from cough audio and routinely collected clinica...
Related: #Machine Learning, #Disease Detection -
🇺🇸 Deep-Learning Atlas Registration for Melanoma Brain Metastases: Preserving Pathology While Enabling Cohort-Level Analyses
[USA]
arXiv:2602.12933v1 Announce Type: cross Abstract: Melanoma brain metastases (MBM) are common and spatially heterogeneous lesions, complicating cohort-level analyses due to anatomical variability and ...
Related: #Artificial Intelligence, #Cancer Research, #Medical Imaging -
🇺🇸 Ultrasound-Guided Real-Time Spinal Motion Visualization for Spinal Instability Assessment
[USA]
arXiv:2602.12917v1 Announce Type: cross Abstract: Purpose: Spinal instability is a widespread condition that causes pain, fatigue, and restricted mobility, profoundly affecting patients' quality of l...
Related: #Diagnostic Innovation, #Spinal Health -
🇺🇸 Stifel reiterates Buy rating on Edwards Lifesciences stock at $110 target
[USA]
Related: #Finance, #Healthcare
-
🇬🇧 Cutting edge treatment for 'debilitating' heart condition
[United Kingdom]
Volt Pulsed Field Ablation System (PFA) is being trialed for the first time in the UK at Belfast Royal Victoria Hospital (RVH).
Related: #Healthcare, #Cardiology -
🇺🇸 MRI Cross-Modal Synthesis: A Comparative Study of Generative Models for T1-to-T2 Reconstruction
[USA]
arXiv:2602.07068v1 Announce Type: cross Abstract: MRI cross-modal synthesis involves generating images from one acquisition protocol using another, offering considerable clinical value by reducing sc...
Related: #Artificial Intelligence, #Radiology -
🇺🇸 A General Model for Retinal Segmentation and Quantification
[USA]
arXiv:2602.07012v1 Announce Type: cross Abstract: Retinal imaging is fast, non-invasive, and widely available, offering quantifiable structural and vascular signals for ophthalmic and systemic health...
Related: #Artificial Intelligence, #Ophthalmology -
🇺🇸 Small Agent Group is the Future of Digital Health
[USA]
arXiv:2602.08013v1 Announce Type: new Abstract: The rapid adoption of large language models (LLMs) in digital health has been driven by a "scaling-first" philosophy, i.e., the assumption that clinica...
Related: #Artificial Intelligence, #Digital Health -
🇺🇸 SurfAge-Net: A Hierarchical Surface-Based Network for Interpretable Fine-Grained Brain Age Prediction
[USA]
arXiv:2602.06994v1 Announce Type: cross Abstract: Brain age prediction serves as a powerful framework for assessing brain status and detecting deviations associated with neurodevelopmental and neurod...
Related: #Neuroscience, #Artificial Intelligence -
🇺🇸 MedCoG: Maximizing LLM Inference Density in Medical Reasoning via Meta-Cognitive Regulation
[USA]
arXiv:2602.07905v1 Announce Type: new Abstract: Large Language Models (LLMs) have shown strong potential in complex medical reasoning yet face diminishing gains under inference scaling laws. While ex...
Related: #Artificial Intelligence, #Machine Learning -
🇺🇸 Transformer-based Parameter Fitting of Models derived from Bloch-McConnell Equations for CEST MRI Analysis
[USA]
arXiv:2602.06574v1 Announce Type: cross Abstract: Chemical exchange saturation transfer (CEST) MRI is a non-invasive imaging modality for detecting metabolites. It offers higher resolution and sensit...
Related: #Artificial Intelligence, #Diagnostic Imaging -
🇺🇸 EEG-MACS: Manifold Attention and Confidence Stratification for EEG-based Cross-Center Brain Disease Diagnosis under Unreliable Annotations
[USA]
arXiv:2405.00734v3 Announce Type: replace-cross Abstract: Cross-center data heterogeneity and annotation unreliability significantly challenge the intelligent diagnosis of diseases using brain signal...
Related: #Artificial Intelligence, #Neuroscience -
🇺🇸 This test may predict heart disease better than 'bad' cholesterol. Why aren't more getting it?
[USA]
“Bad,” or LDL, cholesterol is a major risk factor for heart disease and most people are screened for it as part of their yearly physicals
Related: #Healthcare, #Cardiology