Artificial Intelligence Medical Compendium

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

Showing 9,211 to 9,220 of 208,566 articles

Associations of body mass index and metabolic health with stroke risk in a large prospective cohort with time updated covariates.

Scientific reports
The global prevalence of overweight and obesity is rising, and recent studies have established an independent contribution of adiposity to stroke risk. How the increased risk associated with adiposity relates to other factors including metabolic heal... read more 

Lactylation-related prognostic signature characterized in pancreatic ductal adenocarcinoma through public scRNA-seq dataset and machine learning algorithms: the TOP2A-H3K18la-NQO1 axis orchestrates malignant progression.

British journal of cancer
BACKGROUND: Lactate promotes histone lactylation, which affects protein transcription and translation, thereby influencing tumour cell progression. However, the role of lactylation in pancreatic ductal adenocarcinoma (PDAC) remains underexplored and ... read more 

Hydrodynamic investigation of acoustic bubble-surface interactions on nanoarray-coated fins for microelectronic cooling with machine learning-based analysis.

Scientific reports
This study presents a novel phase-change cooling strategy that synergistically integrates acoustofluidic bubble dynamics with nanoarray-coated micropin fins to enhance thermal performance. A multidisciplinary framework combines experimental measureme... read more 

Big data technology application and carbon emission efficiency of manufacturing enterprises.

Scientific reports
With the application and popularization of artificial intelligence, the Internet of Things and other technologies, the role of big data technology in the production and operation processes of enterprises is becoming more and more important. Exploring... read more 

A psychological education model integrating artificial intelligence-based BERT in physical education.

Scientific reports
To address the limitations of traditional physical education (PE) approaches that rely heavily on manual observation for psychological assessment, this study integrates Natural Language Processing techniques with sports psychology education. A psycho... read more 

Connecting pre-existing digitalization and technology adoption speed with AI-driven business model transformation via employee competencies.

Scientific reports
This study investigates how pre-existing digitalization and technology adoption speed shape AI-driven business model transformation, with particular attention to the mediating role of employee competencies. Grounded in the resource-based view and dig... read more 

Reported trust varies with graded value alignment in AI-attributed economic-environmental choices.

Scientific reports
As artificial intelligence (AI) systems increasingly support value-laden decisions, users may judge whether an advisor's observable choices align with their own priorities. Prior theories of value similarity predict that value alignment should suppor... read more 

Melan-YOLO: a dual-strategy framework with custom architectures for accurate and efficient underwater object detection.

Scientific reports
Effective autonomous monitoring of marine litter is vital to reduce marine pollution and protect marine ecosystems. However, current underwater detection systems face significant challenges, primarily due to poor image quality caused by light scatter... read more 

Predicting progression-free survival in glioblastoma with neuroimaging and machine learning.

Journal of neuro-oncology
PURPOSE: Glioblastoma (GBM) is the most prevalent and aggressive form of malignant glioma. Reliable estimation of progression-free survival (PFS) prior to medical intervention could strengthen clinical decision-making and improve patient care. Here, ... read more 

Enhanced health evaluation in mice using continuous home-cage monitoring and machine learning: a multicentric study.

Lab animal
Ensuring the health of laboratory rodents is critical for ethical research and maintaining scientific integrity. Traditional daily visual observations by trained technicians, conducted during the rodents' sleep period, often fail to detect subtle but... read more