Artificial Intelligence Medical Compendium

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

Showing 49,811 to 49,820 of 224,814 articles

Characterizing yield through wheat's perception of chronological progression: a multi-omics plant-time warping approach.

Journal of experimental botany Feb 17, 2026
To address challenges in food security, a better understanding of crop performance under varying and changing environmental conditions is required. Plant Time Warping (PTW) is a deep learning model that integrates high-throughput field phenotyping da... read more 

Methane cycling microbes are important predictors of methylmercury accumulation in rice paddies.

Applied and environmental microbiology Feb 17, 2026
Microbial production of methylmercury from inorganic mercury in rice paddies poses health risks to consumers of this essential dietary staple. Although mercury-methylating communities are well characterized, the microbial guilds contributing to methy... read more 

Analysing DCE-MRI scans using hybrid techniques for early detection of prostate cancer based on fusion features of handcrafted and deep learning features.

Journal of medical engineering & technology Feb 17, 2026
Prostate cancer is among the most diagnosed malignancies in men worldwide and a leading cause of cancer-related mortality. Early and accurate diagnosis is critical to improve patient outcomes and reduce the risks of overtreatment or missed detection.... read more 

Primary Care Physician Perspectives on Artificial Intelligence for Dementia Screening: A Qualitative Study.

AJOB empirical bioethics Feb 17, 2026
BACKGROUND: Automated approaches to cognitive impairment screening may soon achieve sufficient levels of accuracy for clinical implementation but they present potentially serious ethical challenges. Overcoming such challenges for successful implement... read more 

Artificial intelligence-based smartphone application for skin cancer detection: A prospective diagnostic accuracy study.

The British journal of dermatology Feb 17, 2026
BACKGROUND: Smartphone applications that use artificial intelligence (AI) for skin cancer diagnosis may assist in early detection. However, prospective studies assessing real-world performance remain scarce. OBJECTIVES: This independent prospective s... read more 

Metabolic Fingerprint-Mediated Chemical Nose Strategy: Precise Identification of Foodborne Bacteria Based on a 4-MU Derivative Fluorescence Array.

Analytical chemistry Feb 17, 2026
Accurate identification of foodborne microorganisms is a key priority for food safety. Focused on the common principles of microbial metabolism, a metabolic-assisted chemical nose strategy was developed in this work. Consequently, the rapid, low-cost... read more 

Structural brain imaging biomarkers for predicting seizure recurrence after a first unprovoked seizure.

Epilepsia open Feb 17, 2026
OBJECTIVES: Predicting seizure recurrence following a first unprovoked seizure (FUS) remains a significant clinical challenge, especially when routine clinical magnetic resonance imaging (MRI) and EEG do not reveal abnormalities diagnostic of epileps... read more 

Identification of clinical phenotypes and disease trajectories in SLE using AI through a natural language processing framework.

Rheumatology (Oxford, England) Feb 17, 2026
OBJECTIVES: Electronic Health Records (EHRs) contain a wealth of unstructured patient data that can be leveraged using Artificial Intelligence (AI). This study aimed to develop a Natural Language Processing (NLP)pipeline to identify clinical phenotyp... read more 

Machine learning algorithms for predicting colchicine resistance in familial Mediterranean fever.

Rheumatology (Oxford, England) Feb 17, 2026
OBJECTIVES: Familial Mediterranean Fever (FMF) is a genetic autoinflammatory condition marked by recurrent fever and serositis. Colchicine is the mainstay treatment. However, 5-10% of patients exhibit colchicine resistance, requiring alternative ther... read more 

Predicting mycophenolic acid exposure in pediatric lupus nephritis: a real-world study across three clinical scenarios.

Rheumatology (Oxford, England) Feb 17, 2026
OBJECTIVES: Childhood-onset systemic lupus erythematosus (cSLE) with lupus nephritis (LN) presents therapeutic challenges due to complex mycophenolic acid (MPA) pharmacokinetics. This study developed machine learning (ML)-based models to predict MPA ... read more 
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