Artificial Intelligence Medical Compendium

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

Showing 57,281 to 57,290 of 227,153 articles

Semantic-aware fault diagnosis of heavy-duty railway maintenance machinery and its potential in multisensor fusion systems.

Scientific reports Jan 28, 2026
To address the semantic gap in physical sensor data for fault diagnosis of heavy-duty railway maintenance machinery and the underuse of semantic information in maintenance logs, this study proposes a model that treats fault-related text as a virtual ... read more 

Machine learning approach for wheat variety identification using single-seed imaging.

Scientific reports Jan 28, 2026
Accurate identification of wheat varieties is essential for seed certification and precision agriculture, yet traditional visual inspection is subjective, labor-intensive, and often unreliable due to the morphological similarity among cultivars. This... read more 

Predicting the mechanical behavior of municipal solid waste layers in the Barmshour Landfill stability analysis.

Scientific reports Jan 28, 2026
Slope stability is a crucial aspect of geotechnical engineering, particularly for landfills where municipal solid waste (MSW) layers are subjected to both static and seismic forces. This study represents the first application of hybrid metaheuristic-... read more 

6G conditioned spatiotemporal graph neural networks for real time traffic flow prediction.

Scientific reports Jan 28, 2026
Accurate, low-latency traffic forecasting is a cornerstone capability for next-generation Intelligent Transportation Systems (ITS). This paper investigates how emerging 6G-era network context specifically per node slice-bandwidth and channel-quality ... read more 

Skin tone and clinical dataset from a prospective trial on acute care patients.

Scientific data Jan 28, 2026
Although hypothesized to be the root cause of the pulse oximetry disparities, skin tone and its use for improving medical therapies have yet to be extensively studied. Studies that previously used self-reported race as a proxy variable for skin tone ... read more 

Comparison of Pragmatic Post-Thrombectomy Prognostic Scores Not Based on Advanced Imaging in a Large National Stroke Registry.

International journal of stroke : official journal of the International Stroke Society Jan 28, 2026
BACKGROUND: Nearly half of the patients who received endovascular thrombectomy (EVT) for large vessel occlusion experience poor functional outcomes. Reliable tools for early post-procedural prognostication are needed. We aimed to assess and compare t... read more 

Practical strategies to maximise medical simulation learning with minimal resources.

Archives of disease in childhood. Education and practice edition Jan 28, 2026
Simulation-based education is a powerful tool for clinical skills development, but its implementation is often hindered by resource constraints, time limitations and institutional barriers. Effective simulation can occur in almost any setting, regard... read more 

Development of a machine learning-based model for prediction of diabetes risk in patients with metabolic dysfunction-associated steatotic liver disease (MASLD).

BMJ open Jan 28, 2026
BACKGROUND: Metabolic dysfunction-associated steatotic liver disease (MASLD) is a leading chronic liver disorder closely linked to diabetes mellitus (DM) and its cardiovascular and renal complications. Early identification of diabetes risk in this po... read more 

Predictive value of stress hyperglycaemia ratio and haemoglobin glycation index for mortality risks in critically ill patients: a comparative retrospective analysis of the MIMIC-IV database using machine learning-based predictive modelling.

BMJ open Jan 28, 2026
OBJECTIVES: This study aimed to evaluate the association between the stress hyperglycaemia ratio (SHR) and the Haemoglobin Glycation Index (HGI), and mortality risks in critically ill patients. DESIGN: A retrospective study and machine learning (ML)-... read more 

Multimodal Large Language Models for Cystoscopic Image Interpretation and Bladder Lesion Classification: Comparative Study.

Journal of medical Internet research Jan 28, 2026
BACKGROUND: Cystoscopy remains the gold standard for diagnosing bladder lesions; however, its diagnostic accuracy is operator dependent and prone to missing subtle abnormalities such as carcinoma in situ or misinterpreting mimic lesions (tumor, infla... read more 
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