Artificial Intelligence Medical Compendium

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

Showing 57,671 to 57,680 of 227,388 articles

Metabolic Syndrome and a Broken Heart: Trust Your Gut or Risk Your Heart.

American journal of physiology. Heart and circulatory physiology Jan 28, 2026
Gut dysbiosis is increasingly recognized as a contributor to heart failure; however, its specific role in the development of metabolic syndrome-induced heart failure (MetS-HF) remains poorly defined. A defining feature of MetS-HF is cardiac steatosis... read more 

Development and Validation of a Protein Electrophoresis Classification Algorithm: Tabular Data-Based Alternative.

JMIR formative research Jan 28, 2026
Serum protein electrophoresis (SPE) is routinely interpreted through visual assessment of electropherogram images by medical laboratory scientists. We introduce an efficient tabular data-based machine learning approach that directly leverages numeric... read more 

Implementing an Artificial Intelligence Decision Support System in Radiology: Prospective Qualitative Evaluation Study Using the Nonadoption Abandonment Scale-Up, Spread, and Sustainability (NASSS) Framework.

Journal of medical Internet research Jan 28, 2026
BACKGROUND: Medical imaging remains at the forefront of advancements in adopting digital health technologies in clinical practice. Regulator-approved artificial intelligence (AI) clinical decision support systems are commercially available and being ... read more 

Assistive Robotics for Healthy Aging: A Foundational Phenomenological Co-Design Exercise.

Journal of medical Internet research Jan 28, 2026
BACKGROUND: Assistive robotics for helping older people live well and stay independent has, to date, failed to fulfill its promise: there are few assistive robots in everyday use. In part, this failing can be attributed to inadequate or missing co-de... 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 

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 

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 

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 

Response to Letter to the Editor regarding, "Dental implant planning using artificial intelligence: A systematic review and meta-analysis".

The Journal of prosthetic dentistry Jan 28, 2026
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Augmenting Large Language Models for Automated Discovery of F-Element Extractants.

Journal of the American Chemical Society Jan 28, 2026
Efficient separation of f-elements is a critical challenge for a wide range of emerging technologies. The chemical similarity among these elements makes the development of selective solvent extraction reagents both slow and difficult. Here, we presen... read more 
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