Artificial Intelligence Medical Compendium

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

Showing 21,301 to 21,310 of 216,348 articles

Reducing social biases in text-based emotion prediction using semantic blinding and semantic propagation graph neural networks.

Scientific reports
This paper introduces the Semantic Propagation Graph Neural Network (SProp GNN), a machine learning emotion prediction (EP) architecture that relies exclusively on syntactic structures and word-level emotional cues to predict emotions in text. By sem... read more 

A hybrid transformer-GNN framework for social governance and urban service allocation.

Scientific reports
The proposed study puts forward an artificial intelligence-based framework to predict the needs of the urban public services and aid resource allocation based on data in the current social governance systems. A hybrid deep learning model is designed ... read more 

Deep learning framework for determining earthquake focal mechanisms with application to the Campi Flegrei caldera.

Scientific reports
We present DeepFoc, a novel deep learning framework for estimating earthquake focal mechanisms from P-wave polarities and amplitudes, specifically designed for low-to-moderate magnitude events in complex tectonic settings. Trained entirely on synthet... read more 

DC bias optimization in intelligent DCO-OFDM Li-Fi systems using hybrid machine learning with hardware validation.

Scientific reports
The main goal of this paper is to determine the optimal DC bias value for DC-biased optical orthogonal frequency division multiplexing (DCO-OFDM)- based Light fidelity (Li-Fi) systems using machine learning (ML) algorithms. The reason for this is tha... read more 

A robust machine learning framework for predicting contact angle in nano-assisted chemical EOR.

Scientific reports
Wettability alteration through nano-assisted chemical Enhanced Oil Recovery (nano-cEOR) critically governs capillary pressure and multiphase flow in porous media. Contact angle (CA) quantifies wettability, yet experimental measurement remains costly,... read more 

Interpretable ensemble meta-learning for estimated ultimate recovery prediction in shale gas wells.

Scientific reports
Accurate estimation of the Estimated Ultimate Recovery (EUR) of shale gas wells is essential for development planning and economic evaluation. However, complex geological and engineering conditions make reliable EUR prediction challenging, especially... read more 

Benchmarking large language models on persian surgical subspecialty board examinations: a comparative study of ChatGPT-4o, ChatGPT-5, and Gemini 2.5 Flash.

Scientific reports
This study evaluated the performance of three large language models, including ChatGPT-4o, ChatGPT-5, and Gemini 2.5 Flash, on 532 Persian multiple-choice questions from the 2025 Iranian surgical subspecialty board examinations. Questions spanned fiv... read more 

Automated low-cost framework for crack measurements in RC structures using deep learning approach.

Scientific reports
This research presents a comprehensive and automated framework for detecting surface cracks and measuring their widths in reinforced concrete (RC) members using a modified YOLO-V11 deep learning (DL) architecture. Basically, manual surface-crack insp... read more 

Evaluate the compressive strength of fiber-reinforced geopolymer concrete incorporating ground granulated blast furnace slag with machine learning approach.

Scientific reports
The increasing demand for sustainable and high-performance construction materials has created a need for reliable predictive modeling tools for geopolymer concrete systems. Conventional experimental methods for determining compressive strength are ex... read more