Artificial Intelligence Medical Compendium

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

Showing 23,091 to 23,100 of 216,842 articles

Detection of benign prostatic hyperplasia using RGB prostate images and deep learning.

Scientific reports May 2, 2026
This study investigates the identification of Benign Prostatic Hyperplasia (BPH) through a deep learning-based analysis of RGB prostate histopathological images. Adaptive Contrast Limited Adaptive Histogram Equalization (CLAHE) is selectively applied... read more 

Physics-guided resampling and asymmetric fusion for ultra-high-frequency bolt-loosening detection.

Scientific reports May 2, 2026
Reliable detection of bolt loosening in safety-critical infrastructure requires monitoring that captures microsecond-scale transients. However, processing 1 MHz vibration signals at the edge presents a fundamental dilemma: standard downsampling can s... read more 

Adaptive regression model for Parkinson's disease diagnosis from speech signals using Box-Cox-based clustering and extremely randomization.

Scientific reports May 2, 2026
Parkinson's Disease (PD) is a progressive neurodegenerative disorder that causes motor and cognitive impairments, affecting approximately 1% of individuals over 60 years of age. Speech impairments are among the earliest and most accessible biomarkers... read more 

A Mixed-Methods Study of Policymakers' Adoption of AI to Support Use of Research Evidence: Implications for Artificial Intelligence in Prevention Policy.

Prevention science : the official journal of the Society for Prevention Research May 2, 2026
Policymakers are increasingly adopting artificial intelligence (AI) tools to support legislative decision-making, yet there is limited empirical understanding of how these technologies are used and the implications for evidence-based policymaking. Ge... read more 

Economic evaluation of artificial intelligence for cancer detection in the UK breast screening programme.

British journal of cancer May 2, 2026
BACKGROUND: Artificial intelligence (AI) offers a potential solution to radiologist shortages in breast cancer screening while maintaining diagnostic accuracy. Retrospective studies suggest AI performs comparably to human readers in detecting cancers... read more 

Segmentation of spinal rootlets across MRI contrasts with RootletSeg.

Scientific reports May 2, 2026
Segmentation of spinal nerve rootlets is relevant for spinal level estimation, lesion classification, neuromodulation therapy, and group-level analyses. The aim of this study was to develop a deep learning method for the automatic segmentation of C2-... read more 

Explainable artificial intelligence models using SHAP enhanced CatBoost, Bi-GRU with attention, and Tab Transformer.

Scientific reports May 2, 2026
Insurance fraud detection remains challenging to predict in reality because claims data is often uneven among classes, and the information concerning claims is often multidimensional and nonhomogeneous. The present research used a unified evaluation ... read more 

Hybrid Machine learning-based modeling to predict and optimize the compressive strength of electric arc furnace slag-modified concrete.

Scientific reports May 2, 2026
The growing worldwide population has increased the use of electric arc furnaces (EAF), resulting in a surge of EAF slag and a huge environmental concern. EAF slag's complex physical qualities have a considerable impact on concrete's mechanical perfor... read more 

Predicting postoperative delayed awakening after flexible ureteroscopic lithotripsy based on radiomic features of body composition.

Scientific reports May 2, 2026
We aimed to explore the predictive role of radiomic features of body compositions in the occurrence of delayed awakening after flexible ureteroscopic lithotripsy, and further develop a predictive model to identify patients at higher risk. We analyzed... read more 

Leveraging population-scale proteomic data with deep learning for head and neck cancer detection in saliva.

NPJ digital medicine May 2, 2026
Identifying robust biomarkers for early cancer detection remains challenging, particularly when working with limited or heterogeneous datasets. Here, we present a proof-of-concept deep learning framework for cancer classification using blood-based pr... read more 
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