Artificial Intelligence Medical Compendium

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

Showing 42,571 to 42,580 of 223,853 articles

Using multiomic data to predict postoperative complications after major surgery in the UK Biobank cohort

medRxiv Mar 11, 2026
Introduction Postoperative complications after major surgery have substantial impacts on morbidity and resource utilisation. We investigated whether adding high-dimensional metabolomic and proteomic data to standard clinical variables would improve t... read more 
anesthesia

Cross-Attention Enables Context-Aware Multimodal Skin Lesion Diagnosis

medRxiv Mar 11, 2026
Clinical diagnosis of skin lesions integrates visual dermoscopic features with patient context such as age, skin type, and lesion characteristics. However, most artificial intelligence systems for dermoscopic analysis rely solely on image data and ig... read more 
health informatics

Co-designing a virtual reality based mindfulness application to address diabetes distress using Artificial Intelligence-informed Experience-Based Co-Design (AI-EBCD): a feasibility study

medRxiv Mar 11, 2026
More than one third of adults with diabetes can experience diabetes distress due to the demands of daily self-care. As a cognitive therapy, mindfulness can alleviate diabetes distress but face-to-face programmes can be difficult to access and pay for... read more 
health informatics

Multimodal machine learning for major depressive disorder: Integrating EEG functional connectivity and clinical variables to enhance diagnostic accuracy.

Psychiatry research Mar 11, 2026
The diagnosis of Major Depressive Disorder (MDD) relies heavily on subjective clinical assessments. This study evaluated various machine learning models in differentiating between MDD patients and healthy controls using resting-state electroencephalo... read more 

AI adoption in Spain (2023-2025): A web-derived dataset based on LLMs.

Data in brief Mar 11, 2026
This article introduces a nationwide dataset that maps how 112,814 Spanish firms communicate and implement artificial intelligence (AI) on their corporate websites in 2023 and 2025, resulting in 225,628 firm-year observations. Using a systemic pipeli... read more 

Rapid quality detection in colored potatoes during alternating cold and ambient storage: Utilizing absorption and scattering properties.

Food research international (Ottawa, Ont.) Mar 11, 2026
The dynamic changes in sugar content during the cold-to-ambient storage stages of potato tubers pose a significant challenge to quality monitoring efforts. This study investigated the dynamic quality changes in three colored potato cultivars under a ... read more 

Automation Software for Transesophageal Echocardiography in Cardiac Patients: A Scoping Review.

Journal of cardiothoracic and vascular anesthesia Mar 11, 2026
Automation software has improved accuracy, efficiency, and reproducibility in transthoracic echocardiography, but its role in transesophageal echocardiography (TEE) is less well established. Given rapid technological advances and heterogeneity among ... read more 

TRIM36 and CAMK2N2 regulate ferroptosis and antigen presentation in small cell lung cancer.

iScience Mar 11, 2026
Small cell lung cancer (SCLC) is a highly aggressive tumor with poor prognosis. Ferroptosis is closely linked to tumor antigen presentation: it affects antigen presentation efficiency via immunostimulatory signals, while CD8+ T cell activation induce... read more 

Machine learning and free energy clustering reveal PAH protein binding linked to AD risk.

iScience Mar 11, 2026
This study develops a computational framework integrating bioinformatics, machine learning, and ΔG clustering to prioritize polycyclic aromatic hydrocarbons (PAHs) for Alzheimer's disease (AD)-associated neurotoxicity. PAH targets were predicted from... read more 

Modern machine learning techniques used in prediction of sepsis and bloodstream infection in burn patients: A systematic review.

Burns : journal of the International Society for Burn Injuries Mar 11, 2026
INTRODUCTION: Burn patients are a group highly prone to sepsis and bloodstream infections (BSIs) due to immune dysregulation, skin barrier loss, and complex inflammatory responses. Traditional diagnostic criteria for sepsis are often unreliable in th... read more 
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