Artificial Intelligence Medical Compendium

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

Showing 20,651 to 20,660 of 216,088 articles

Impact of CT Acquisition Parameters on Deep Learning of Aortic Segmentation Performance: Systematic Review.

Journal of imaging informatics in medicine May 11, 2026
Automatic segmentation of computed tomography (CT) images is fundamental for quantitative anatomical analysis in a wide range of clinical applications. Despite remarkable advances in artificial intelligence (AI), CT acquisition parameters critically ... read more 

Towards naturalistic social neuroscience: A multi-level framework integrating real-world phenotyping, neurobiology, and computational mechanisms.

Cognitive, affective & behavioral neuroscience May 11, 2026
Humans are inherently social species. Our behavior is heavily influenced by the social environment and context. While the traditional social neuroscience approach has made significant progress in mapping isolated social cognitive processes, it often ... read more 

Noninvasive neurophysiological diagnostics of delayed cerebral ischemia in aneurysmal subarachnoid hemorrhage: a scoping review.

Acta neurochirurgica May 11, 2026
BACKGROUND: Delayed cerebral ischemia (DCI) is a major complication following aneurysmal subarachnoid hemorrhage (aSAH), affecting outcomes. Given its multifactorial pathophysiology, including vasospasm, microcirculatory dysfunction, and neuroelectri... read more 

Computational Model for Predicting Optimal Clinical Intervention in Pre-Operative Neonates with Transposition of the Great Arteries.

Cardiovascular engineering and technology May 11, 2026
PURPOSE: Transposition of the Great Arteries (TGA) is a congenital heart defect characterized by the abnormal positioning of the pulmonary artery over the left ventricle and aorta over the right ventricle. Systemic oxygen delivery, therefore, is depe... read more 

The evolving global landscape of first-in-class oncology drug innovation.

Signal transduction and targeted therapy May 11, 2026
First-in-class (FIC) oncology drugs-defined by their novel mechanisms of action or targeting of previously unaddressed molecular targets-have emerged as a leading force in cancer therapeutic innovation. In this Review, we delineate the global landsca... read more 

Global patterns of urban heat shaped by climate and morphology.

Nature communications May 11, 2026
Urban morphology and background climate are evolving drivers of the urban heat island (UHI) effect, yet the thermal influence of surrounding urban structure and its coupling with climate remain elusive. Here, we show that climate and morphology joint... read more 

Direct carbapenemase typing from disc diffusion antibiograms with MALCA (MAchine Learning CArbapenemase).

Nature communications May 11, 2026
Carbapenemase-producing Enterobacterales (CPE) present limited therapeutic options. Optimal treatment requires identifying the carbapenemase type, often requiring confirmatory testing beyond routine susceptibility results. We develop MALCA, a machine... read more 

Interpretable machine learning for predicting EUR of shale gas wells in the Weiyuan block.

Scientific reports May 11, 2026
For shale gas development, it is essential to clarify the main controlling factors of EUR and realize its accurate prediction. Based on data from 123 wells in the Weiyuan block, this study combines Pearson correlation analysis, RF-RFE algorithm, and ... read more 

A novel hybrid supervised machine learning model with metaheuristic optimization algorithm for prediction of driver concentration levels.

Scientific reports May 11, 2026
The rapid expansion of urban living has led to increased road congestion, posing significant challenges for maintaining driver attention and ensuring road safety. This study investigates advanced machine learning techniques to assess and predict driv... read more 

Predicting pro-environmental behavioral intention using interpretable machine learning.

Scientific reports May 11, 2026
This study employs machine learning techniques to investigate the determinants of pro-environmental behavioral intention (PEBI) using the survey data from the 2021 wave of the Chinese General Social Survey (CGSS). By comparing the predictive performa... read more 
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