Artificial Intelligence Medical Compendium

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

Showing 4,281 to 4,290 of 173,705 articles

New chemical average model for molecular simulations of the asphalt system.

Physical chemistry chemical physics : PCCP Aug 20, 2025
This study refined the Brown-Ladner (B-L) method and combined it with elemental analysis to construct average molecular structure models of virgin asphalt, aiming to achieve more precise molecular simulations of asphalt materials. The chemical struct... read more 

Criteria-calibration approaches to deep learning-based cervical cancer radiation treatment auto-planning.

Radiation oncology (London, England) Aug 20, 2025
BACKGROUND: Knowledge-Based Planning (KBP) pipelines, which integrate machine learning-based models to predict dose distribution, have gained popularity in clinical radiation therapy. However, for patients with specific requirements, the trained mode... read more 
Uterine Cervical Neoplasms Deep Learning Retrospective Studies Female Radiotherapy Dosage Humans Radiotherapy, Intensity-Modulated Radiotherapy Planning, Computer-Assisted Calibration

DeepTelecom: A Digital-Twin Deep Learning Dataset for Channel and MIMO Applications

arXiv Aug 20, 2025
Domain-specific datasets are the foundation for unleashing artificial intelligence (AI)-driven wireless innovation. Yet existing wireless AI corpora are slow to produce, offer limited modeling fidelity, and cover only narrow scenario types. To addr... read more 
Information Theory Information Theory

Unexpected early pulmonary thrombi in war injured patients.

European radiology Aug 20, 2025
OBJECTIVES: Pulmonary embolism is commonly associated with deep vein thrombosis and the components of Virchow's triad: hypercoagulability, stasis, and endothelial injury. High-risk patients are traditionally those with prolonged immobility and hyperc... read more 

State of science: New frontiers in inclusive design and digital health intervention.

Ergonomics Aug 20, 2025
Inclusive design has evolved as a design approach and a research topic in the last three decades. Despite its evolution, there are new frontiers to consider in the context of two phenomena: global ageing populations and the digital transition of serv... read more 

Billing and Coding in Foot and Ankle Surgery: Can We Trust Artificial Intelligence?

Foot & ankle specialist Aug 20, 2025
BackgroundBilling and coding for orthopaedic procedures is a complex process with thousands of procedure codes and associated modifiers in existence. Foot and ankle faces an additional challenge as it is among the highest variability regarding proced... read more 

ShizhenGPT: Towards Multimodal LLMs for Traditional Chinese Medicine

arXiv Aug 20, 2025
Despite the success of large language models (LLMs) in various domains, their potential in Traditional Chinese Medicine (TCM) remains largely underexplored due to two critical barriers: (1) the scarcity of high-quality TCM data and (2) the inherent... read more 
Computation and Language Artificial Intelligence Computer Vision and Pattern Recognition Machine Learning Multimedia

Leuvenshtein: Efficient FHE-based Edit Distance Computation with Single Bootstrap per Cell

arXiv Aug 20, 2025
This paper presents a novel approach to calculating the Levenshtein (edit) distance within the framework of Fully Homomorphic Encryption (FHE), specifically targeting third-generation schemes like TFHE. Edit distance computations are essential in a... read more 
Cryptography and Security E.3

NVIDIA Nemotron Nano 2: An Accurate and Efficient Hybrid Mamba-Transformer Reasoning Model

arXiv Aug 20, 2025
We introduce Nemotron-Nano-9B-v2, a hybrid Mamba-Transformer language model designed to increase throughput for reasoning workloads while achieving state-of-the-art accuracy compared to similarly-sized models. Nemotron-Nano-9B-v2 builds on the Nemo... read more 
Computation and Language Artificial Intelligence Machine Learning

GeMS: Efficient Gaussian Splatting for Extreme Motion Blur

arXiv Aug 20, 2025
We introduce GeMS, a framework for 3D Gaussian Splatting (3DGS) designed to handle severely motion-blurred images. State-of-the-art deblurring methods for extreme blur, such as ExBluRF, as well as Gaussian Splatting-based approaches like Deblur-GS,... read more 
Computer Vision and Pattern Recognition
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