Artificial Intelligence Medical Compendium
Explore the latest research on artificial intelligence and machine learning in medicine.
Showing 23,431 to 23,440 of 217,176 articles
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
LDDHybridNet: an ROI-aware CNN-LSTM hybrid framework for accurate and early leaf disease detection in precision agriculture.
Scientific reports
May 2, 2026
Early and accurate detection of plant leaf diseases is an essential requirement for precision agriculture, given their severe impact on global food security. While much has been done recently, many deep learning-based approaches will still fail in re... read more
Anonymization and visualization of health data and biomarkers.
NPJ digital medicine
May 2, 2026
Access to large, diverse biomedical datasets is critical for advancing medical research, yet privacy regulations severely restrict data sharing. We present an end-to-end framework for privacy-preserving health data synthesis that integrates advanced ... read more
Development and external validation of an interpretable multimodal deep learning model for 5-year mortality in high-risk stage ii colorectal cancer.
International journal of colorectal disease
May 2, 2026
PURPOSE: High-risk stage II colorectal cancer (CRC) shows heterogeneous outcomes despite adjuvant chemotherapy. We developed and validated an interpretable multimodal deep learning model integrating clinical data, serum biomarkers, and venous-phase C... read more
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