Artificial Intelligence Medical Compendium

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

Showing 54,251 to 54,260 of 225,930 articles

Foundation model cascades enable zero-shot microscopy image analysis for cell therapy manufacturing.

Cytotherapy Feb 3, 2026
BACKGROUND AIMS: The scalable manufacturing of cell therapies creates a significant need for robust process analytical technologies, where automated analysis of noninvasive microscopy images offers a powerful method for monitoring critical quality at... read more 

Clinical-radiological machine learning model for non-invasive diagnosis and stratification of peripheral artery disease: a multicenter study.

International journal of medical informatics Feb 3, 2026
BACKGROUND AND OBJECTIVE: Peripheral artery disease (PAD) is an atherosclerotic disorder prevalent in the elderly that leads to peripheral function decline and body composition changes. Current diagnostic approaches lack sensitivity for early PAD det... read more 

Treating those not ready to quit smoking: Doing harm while trying to help?

Addictive behaviors Feb 3, 2026
INTRODUCTION: Motivation-phase smoking treatment can increase treatment reach and abstinence in persons unmotivated to quit smoking. However, Motivation-phase treatment is modestly and inconsistently effective. This research aims to identify factors ... read more 

Artificial intelligence approaches for non-invasive diabetes prediction using ECG signals: A systematic review.

Computer methods and programs in biomedicine Feb 3, 2026
Diabetes is a major global health challenge, with many individuals remaining undiagnosed due to the limitations of traditional screening methods. Artificial intelligence (AI)-based electrocardiogram (ECG) analysis offers a promising, non-invasive app... read more 

Artificial intelligence risk stratification from dynamic digital subtraction angiography radiomics predicts pulmonary embolism and associates with clinical outcomes in deep vein thrombosis: A retrospective cohort study.

Journal of vascular surgery. Venous and lymphatic disorders Feb 3, 2026
OBJECTIVE: Current risk stratification for lower extremity deep vein thrombosis remains limited, often failing to identify high-risk patients for impending pulmonary embolism (PE) and leading to non-guideline-concordant overtreatment. We aimed to dev... read more 

Integrating AI-facilitated interviews to enhance CV writing.

Currents in pharmacy teaching & learning Feb 3, 2026
BACKGROUND: Faculty face challenges integrating professional development, such as curriculum vitae (CV) preparation, into curricula. For instance, adequate time and personnel may not be available for training and feedback. Faculty designed an artific... read more 

Conductive nanofiltration: From materials to applications.

Water research Feb 3, 2026
Conductive nanofiltration membranes are emerging as a transformative class of separation materials capable of coupling molecular selectivity with dynamic electrochemical control. Unlike conventional NF systems that operate as passive diffusion barrie... read more 

Screening toxic transformation products of emerging pollutants in advanced oxidation processes with 3D deep learning and in vitro assays.

Water research Feb 3, 2026
The rapid and precise toxicity assessment of chemical pollutants and their byproducts formed during water treatment and in aquatic environments remains a significant environmental challenge, as the predictive power of conventional quantitative struct... read more 

An explainable and transferable deep learning framework for spatiotemporal urban flood prediction by integrating Vision Transformer and U-Net.

Water research Feb 3, 2026
Urban flood has become an increasingly frequent and severe hazard under intensified climate change and rapid urbanization, yet real-time prediction remains challenging. Existing data-driven models often suffer from limited physical plausibility and t... read more 

Screening, risk assessment, and rapid detection of mycotoxins in edible herbs based on UPLC-MS/MS and FT-NIR.

Food research international (Ottawa, Ont.) Feb 3, 2026
Mycotoxin contamination in edible herbs poses substantial health risks and economic losses due to its accumulation. This study employed a modified QuEChERS-based UPLC-MS/MS method for qualitative screening of 19 mycotoxins in 1000 batches of 77 kinds... read more 
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