Artificial Intelligence Medical Compendium

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

Showing 9,501 to 9,510 of 208,566 articles

Usability and Usefulness of Machine Learning-Based Clinical Decision Support Software in Primary Care: Survey of Users in a Prospective Observational Study.

JMIR medical informatics May 27, 2026
BACKGROUND: The successful implementation of decision support systems promises to enhance high-quality care. However, the successful implementation of a clinical decision support system (CDSS) depends on user acceptance and adoption. A machine learni... read more 

Rerouting Eye Care: How AI and Telemedicine Are Reshaping Ophthalmology Patient Journeys in the United Kingdom and Germany.

Journal of medical Internet research May 27, 2026
Artificial intelligence (AI) as a medical device is now progressively entering routine ophthalmic care, yet its impact is still mostly evaluated in terms of diagnostic performance rather than how it reshapes patient care pathways. This viewpoint argu... read more 

Diagnosing socioeconomic dominance in rainfall-runoff relationship changes across global basins.

Journal of environmental management May 27, 2026
Global warming and intensifying human activities are altering the global hydrologic cycle, raising concerns about future water availability. Although many studies have examined changes in runoff, the global-scale association between socioeconomic dev... read more 

CO2 absorption process in aqueous tri-solvent blended amine systems with experiments and artificial intelligence techniques.

Journal of environmental management May 27, 2026
Aiming at the problems of unclear component synergy mechanism, unquantified multi-factor regulation laws and lack of full-scenario prediction models in existing studies on CO2 capture by ternary mixed amine systems, this study took two typical ternar... read more 

Integrating causality with temporal fusion transformer for interpretable and probabilistic forecasting of riverine dissolved oxygen.

Journal of environmental management May 27, 2026
Accurate, interpretable, and uncertainty-aware riverine dissolved oxygen forecasting is essential for aquatic ecosystem management. Challenges include complex non-stationarity, model opacity, and the need for uncertainty quantification. This study de... read more 

Prediction of cancer-associated thrombosis by machine learning: results from the Vienna Cancer and Thrombosis Study.

ESMO open May 27, 2026
BACKGROUND: Improved risk prediction of cancer-associated venous thromboembolism (VTE) remains an unmet clinical need. We aimed to apply machine learning for the prediction of cancer-associated VTE. PATIENTS AND METHODS: Data from the Vienna Cancer a... read more 

Artificial intelligence in retrospective observational studies in internal medicine: Methodological gaps and opportunities for improvement.

Medicina clinica May 27, 2026
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Labelling in cryogenic electron tomography - Bridging the gap between correlative light and electron microscopy and protein identification.

Current opinion in structural biology May 27, 2026
Cryogenic electron tomography (cryoET) offers unparalleled views into the molecular architecture of cells. As no stains or fixation are used, electrons scatter off the native atoms, and all molecules contribute to the final tomogram. As a result, it ... read more 

Multimodal Deep Learning for Benign vs Malignant Eyelid Lesion Classification Using Optical Coherence Tomography and Clinical Images.

Ophthalmic plastic and reconstructive surgery May 27, 2026
PURPOSE: To evaluate the performance of deep learning models using optical coherence tomography (OCT) volumes, clinical photographs, and their multimodal fusion to classify eyelid lesions as benign or malignant, using histopathology as the reference ... read more 

Gut microbiome composition and functional potential associate with incident type 2 diabetes in 4,685 adults from a Swedish prospective cohort.

Cell reports. Medicine May 27, 2026
Cross-sectional studies link gut microbiome alterations to type 2 diabetes (T2D), but prospective evidence remains limited. We aim to identify taxonomic and functional features associated with future T2D risk. We analyze shotgun metagenomic data from... read more 
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