Artificial Intelligence Medical Compendium

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

Showing 17,821 to 17,830 of 214,033 articles

Sustainable science mapping: benchmarking green AI against transformers for cross-disciplinary abstract classification using arXiv.

Scientific reports
The exponential growth of scholarly literature necessitates automated, scalable systems for organizing knowledge domains. However, text classification of academic abstracts presents distinct challenges due to specialized terminology and diverse disco... read more 

Prediction of the axial capacity of various polygon-type section concrete-filled steel (CFST) columns utilising deep neural network and machine learning regressor.

Scientific reports
The advantages of concrete-filled steel tubular (CFST) have made it a popular choice for structural applications. For structural design and safety, the precise estimation of the axial capacity of the CFST is a crucial element. However, design codes c... read more 

Performance Studies on machine learning based channel modelling for vehicular visible light communication.

Scientific reports
Car headlights and taillights, to provide cost-effective and high-data-rate interference-resilient communication, have spawned Vehicular Visible Light Communication (V2LC), a possible additional technology to radio-frequency systems. Since they can b... read more 

A 1961-2024 daily hydrometeorological dataset for the Yarlung Zangbo basin of the southern Tibetan Plateau from high-resolution observation and model integration.

Scientific data
Understanding runoff changes in the Yarlung Zangbo (YZ) basin is crucial for water resource management on the Tibetan Plateau (TP), but has been hindered by sparse data. This study provides a comprehensive hydrometeorological dataset for the YZ basin... read more 

Multicentric data challenge for artificial intelligence-based classification of leukocytes: results from the CytologIA consortium.

NPJ precision oncology
Accurate morphological classification of blood leukocytes remains a cornerstone of hematological diagnostics but still relies on manual expertise, leading to variability across laboratories. The CytologIA data challenge was organized to benchmark art... read more 

Adaptive patch sampling and location-aware reasoning for whole body PET-CT multi-organ segmentation.

Scientific reports
Patch-wise learning is a common strategy for training neural networks on large-scale dense prediction problems, yet existing approaches assume uniform or fixed sampling distributions. This assumption is suboptimal when learning difficulty varies spat... read more 

NucVerse3D: generalizable 3D nuclear instance segmentation across heterogeneous microscopy modalities.

Scientific reports
Accurate three-dimensional (3D) nuclear instance segmentation is a prerequisite for quantitative phenotyping in volumetric microscopy, yet remains challenging in densely packed tissues, irregular nuclear morphologies, and across heterogeneous imaging... read more 

Neural grid control systems with predictive transient stability enhancement enabling 100 percent renewable integration through distributed intelligence and real time topology reconfiguration.

Scientific reports
The galloping movement toward completely renewable power systems means that new control architectures are needed that can cope with increased variability to date whilst maintaining short-lived stability in low-inertia networks. This paper presents a ... read more 

Parameter-free optimization algorithm effective and precise solution of the optimal power flow problem.

Scientific reports
Difficult Optimization problems can be efficiently solved through nature-inspired optimization algorithms, which remain problem-independent and are computational models at a conceptual level. In this work, a Jaya algorithm will be offered for tacklin... read more