Artificial Intelligence Medical Compendium

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

Showing 52,081 to 52,090 of 225,279 articles

Artificial intelligence for animal identification: Development of a computer vision system for reliable dairy cattle traceability across developmental phases.

Journal of dairy science Feb 10, 2026
Individual animal identification is crucial for dairy cattle management, regulatory compliance, and enhancing food security. Although computer vision systems (CVS) have been proposed for noninvasive animal recognition, limited research has explored t... read more 

A novel deep learning model for automated diagnosis of oral squamous cell carcinoma and related leukoplakia in pathological images.

Journal of stomatology, oral and maxillofacial surgery Feb 10, 2026
BACKGROUND: Oral squamous cell carcinoma (OSCC) is the sixth most common type of cancer worldwide. Its diagnosis and treatment rely on pathological section analysis. However, the pathological diagnosis process is time-consuming, complicated, and may ... read more 

Limitation of existing GFR estimating equations and application of artificial intelligence in improving GFR estimation and chronic kidney disease progression in people with diabetes.

Diabetes research and clinical practice Feb 10, 2026
The Chronic Kidney Disease Epidemiology Collaboration (CKD-EPI) 2009 equation is the most commonly used equation for estimating glomerular filtration rate (GFR) in clinical practice. However, recent studies have questioned the accuracy of this equati... read more 

Learning dynamic binary treatment policies under treatment selection bias: A Conservative Q-Learning approach with representation balancing.

Journal of biomedical informatics Feb 10, 2026
OBJECTIVE: Learn safe, robust dynamic treatment regimes (DTRs) from observational trajectories that exhibit treatment selection bias, using an offline reinforcement learning (RL) approach. METHODS: We propose CQL-RB, which augments Conservative Q-Lea... read more 

Natural language generation in healthcare: A review of methods and applications.

Journal of biomedical informatics Feb 10, 2026
OBJECTIVE: This study presents a systematic review of natural language generation (NLG) methods and applications in the medical domain, providing quantitative and qualitative analyses to answer four key research questions regarding methods, evaluatio... read more 

From epidemiological models to machine learning in clinical prediction.

Archives of gerontology and geriatrics Feb 10, 2026
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Artificial intelligence in biomaterials for oral oncology.

Biomaterials Feb 10, 2026
Oral cancer and oral potentially malignant disorders (OPMDs) remain a significant challenge in diagnosis and therapy, primarily due to inherent limitations in early detection, targeted treatment, and postoperative rehabilitation. Conventional diagnos... read more 

Master-slave synchronization of heterogeneous dimensional proportional delay neural networks for image encryption.

Neural networks : the official journal of the International Neural Network Society Feb 10, 2026
In this paper, the synchronization using proportional delay neural networks (PDNNs) as master-slave systems with heterogeneous dimensions is studied. By designing a reduced-order observer and a feedback controller, while choosing a Lyapunov-Krasovski... read more 

L2G-Net: Local-to-global feature enhancement via cluster tokens for 3D place recognition.

Neural networks : the official journal of the International Neural Network Society Feb 10, 2026
Place recognition based on 3D point clouds is a key technology for achieving long-term Simultaneous Localization and Mapping (SLAM) and autonomous localization in GPS-denied environments. Although the rapid advancement of deep learning has promoted t... read more 

Transforming tabular data into images for deep learning models.

Neural networks : the official journal of the International Neural Network Society Feb 10, 2026
Deep learning (DL) has achieved remarkable success in processing unstructured data such as images, text, and audio, yet its application to tabular numerical datasets remains challenging due to the lack of inherent spatial structure. In this study, we... read more 
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