Artificial Intelligence Medical Compendium

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

Showing 1,221 to 1,230 of 200,346 articles

Practical Barriers to Real-World Implementation of Artificial Intelligence-Driven CT-Derived Fractional Flow Reserve.

Korean journal of radiology Jun 1, 2026
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Artificial Intelligence for Mammography Ready for the Real-World: Turning Promise Into Reality.

Korean journal of radiology Jun 1, 2026
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Opportunistic Assessment of Coronary Artery Calcium Volume and Density From Non-Electrocardiogram-Gated Chest CT Using Artificial Intelligence: Prognostic Implications in a Screening Cohort.

Korean journal of radiology Jun 1, 2026
OBJECTIVE: The prognostic value of coronary artery calcium (CAC) volume and density was derived from an automated artificial intelligence (AI)-based analysis of non-electrocardiogram-gated chest CT. MATERIALS AND METHODS: In this retrospective study,... read more 

From Bench to Bedside: The Path Toward Real-World Translation for Artificial Intelligence in Pancreatic Cancer Detection.

Korean journal of radiology Jun 1, 2026
Patients with pancreatic cancer have low survival rates, largely because patients are diagnosed at an advanced stage. Current strategies for early detection, including imaging, blood tests, and genetic sequencing, have limited performance. Recent adv... read more 

Deep Learning-Based Bone Age Assessment for Predicting Final Adult Height in Girls With Central Precocious Puberty.

Korean journal of radiology Jun 1, 2026
OBJECTIVE: This study aimed to evaluate the accuracy of predicting final adult height (FAH) in Korean girls with central precocious puberty (CPP) using artificial intelligence (AI)-derived bone age assessments integrated into the Bayley-Pinneau (BP) ... read more 

Simulation of fish chronic toxicity using the Las Vegas algorithm and the vector of ideality of correlation.

Environmental toxicology and chemistry Jun 1, 2026
The presence of active pharmaceutical ingredients (APIs) in aquatic environments calls for greater attention to the risks these substances may pose, particularly concerning chronic toxicity. The No Observed Effect Concentration (NOEC) is a commonly u... read more 

Universal and transferable attacks on pathology foundation models using microscopic perturbations.

Light, science & applications Jun 1, 2026
The advent of foundation models initiated a paradigm shift in pathology and optical microscopy. However, these powerful systems also introduce vulnerabilities, making them susceptible to adversarial attacks. To shed light on these potential threats, ... read more 

Insights into the therapeutic strategies for aging and aging-associated diseases.

Signal transduction and targeted therapy Jun 1, 2026
Aging is a complex biological process characterized by progressive functional decline, driving the incidence of age-related diseases such as neurodegeneration, metabolic disorders, and cardiovascular diseases. Therapeutic strategies targeting aging h... read more 

Machine learning based prediction of diesel engine emissions and performance using hemp biodiesel enriched with nano additives.

Scientific reports Jun 1, 2026
The present study was focused on the experimental and machine learning approach to evaluate the diesel engine parameters behavior with hemp biodiesel blends enriched with nano additives (Al2O3, TiO2 and MWCNT's) at different loads. The Hemp biodiesel... read more 

An artificial intelligence model for prediction of hepatocellular carcinoma risk in patients with chronic hepatitis C.

Scientific reports Jun 1, 2026
Hepatocellular carcinoma (HCC) still occurs in patients with hepatitis C who achieved sustained virologic response (SVR) after direct-acting antiviral therapy. We developed and validated an AI-assisted HCC prediction model using longitudinal data in ... read more 
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