Artificial Intelligence Medical Compendium

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

Showing 2,081 to 2,090 of 166,570 articles

Evaluating microstructural and machine learning predictive models for friction drilling of sustainable snail shell reinforced aluminium matrix composites.

Scientific reports Aug 4, 2025
For lightweight automotive applications, friction drilling is a choice candidate for ecofriendly drilling of aluminium matrix composites (AMCs) with green snail shell reinforcement. The present work investigates the effects of significant process var... read more 

Rational engineering of allosteric protein switches by in silico prediction of domain insertion sites.

Nature methods Aug 4, 2025
Domain insertion engineering is a powerful approach to juxtapose otherwise separate biological functions, resulting in proteins with new-to-nature activities. A prominent example are switchable protein variants, created by receptor domain insertion i... read more 

Early prediction of proton therapy dose distributions and DVHs for hepatocellular carcinoma using contour-based CNN models from diagnostic CT and MRI.

Radiation oncology (London, England) Aug 4, 2025
BACKGROUND: Proton therapy is commonly used for treating hepatocellular carcinoma (HCC); however, its feasibility can be challenging to assess in large tumors or those adjacent to critical organs at risk (OARs), which are typically assessed only afte... read more 
Female Magnetic Resonance Imaging Aged Organs at Risk Male Liver Neoplasms Middle Aged Carcinoma, Hepatocellular Radiotherapy, Intensity-Modulated Neural Networks, Computer Radiotherapy Planning, Computer-Assisted Humans Proton Therapy Tomography, X-Ray Computed Radiotherapy Dosage

TreeRanker: Fast and Model-agnostic Ranking System for Code Suggestions in IDEs

arXiv Aug 4, 2025
Token-level code completion is one of the most critical features in modern Integrated Development Environments (IDEs). It assists developers by suggesting relevant identifiers and APIs during coding. While completions are typically derived from sta... read more 
Software Engineering Artificial Intelligence Information Retrieval

An intelligent framework for modeling nonlinear irreversible biochemical reactions using artificial neural networks.

Scientific reports Aug 4, 2025
This paper presents an intelligent computational framework for modeling nonlinear irreversible biochemical reactions (NIBR) using artificial neural networks (ANNs). The biochemical reactions are modeled using an extended Michaelis-Menten kinetic sche... read more 

Open-radiomics: a collection of standardized datasets and a technical protocol for reproducible radiomics machine learning pipelines.

BMC medical imaging Aug 4, 2025
BACKGROUND: As an important branch of machine learning pipelines in medical imaging, radiomics faces two major challenges namely reproducibility and accessibility. In this work, we introduce open-radiomics, a set of radiomics datasets along with a co... read more 
Survival Analysis Datasets as Topic Carcinoma, Non-Small-Cell Lung Magnetic Resonance Imaging Male Middle Aged Lung Neoplasms Glioma Humans Radiomics Machine Learning Brain Neoplasms Reproducibility of Results Female Adult

A dual self-attentive transformer U-Net model for precise pancreatic segmentation and fat fraction estimation.

BMC medical imaging Aug 4, 2025
Accurately segmenting the pancreas from abdominal computed tomography (CT) images is crucial for detecting and managing pancreatic diseases, such as diabetes and tumors. Type 2 diabetes and metabolic syndrome are associated with pancreatic fat accumu... read more 
Tomography, X-Ray Computed Adipose Tissue Humans Neural Networks, Computer Pancreas

Deep Learning Reconstruction for T2 Weighted Turbo-Spin-Echo Imaging of the Pelvis: Prospective Comparison With Standard T2-Weighted TSE Imaging With Respect to Image Quality, Lesion Depiction, and Acquisition Time.

Canadian Association of Radiologists journal = Journal l'Association canadienne des radiologistes Aug 4, 2025
PURPOSE: In pelvic MRI, Turbo Spin Echo (TSE) pulse sequences are used for T2-weighted imaging. However, its lengthy acquisition time increases the potential for artifacts. Deep learning (DL) reconstruction achieves reduced scan times without the deg... read more 

ByteGen: A Tokenizer-Free Generative Model for Orderbook Events in Byte Space

arXiv Aug 4, 2025
Generative modeling of high-frequency limit order book (LOB) dynamics is a critical yet unsolved challenge in quantitative finance, essential for robust market simulation and strategy backtesting. Existing approaches are often constrained by simpli... read more 
Computational Finance Artificial Intelligence Computational Engineering, Finance, and Science Machine Learning Trading and Market Microstructure

Vision-based Navigation of Unmanned Aerial Vehicles in Orchards: An Imitation Learning Approach

arXiv Aug 4, 2025
Autonomous unmanned aerial vehicle (UAV) navigation in orchards presents significant challenges due to obstacles and GPS-deprived environments. In this work, we introduce a learning-based approach to achieve vision-based navigation of UAVs within o... read more 
Robotics
Popular Topics
Recent Journals