Artificial Intelligence Medical Compendium

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

Showing 66,351 to 66,360 of 232,447 articles

Machine-learning-aided predicting and engineering of hydrochar nitrogen-containing functional groups.

Bioresource technology
Hydrochar produced via hydrothermal treatment (HTT) is an emerging carbonaceous material whose properties are strongly governed by N-containing functional groups (NCFGs). In this study, machine learning (ML) was applied to predict and regulate four k... read more 

The role of artificial intelligence in estimating stroke events in Moyamoya patients: A systematic review and meta-analysis of diagnostic test accuracy.

Journal of stroke and cerebrovascular diseases : the official journal of National Stroke Association
INTRODUCTION: Moyamoya disease (MMD) and syndrome (MMS) are rare cerebrovascular arteriopathies marked by progressive internal carotid stenosis, fragile collateral networks, and a five-year stroke risk near 10% despite optimal care. Artificial-intell... read more 

Classification of lameness in dairy cows using automatic milking system data and body condition score with machine learning.

Journal of dairy science
Lameness is a major welfare and productivity concern in dairy herds. This study investigated the influence of animal traits (parity, BCS) and environmental factors (farm, season) on locomotion score (LS) in lactating cows and assessed the impact of l... read more 

Artificial intelligence in diagnostic, prognostic, and predictive genomic biomarkers for prostate cancer: Ready for prime time?

Urologic oncology
INTRODUCTION: Until recently, the widespread use of genetic markers in prostate cancer (PCa) has been limited by the complexities and cost of genomic data analysis. Artificial intelligence (AI), due to its ability to process large volumes of unstruct... read more 

Time-to-event crash severity prediction at highway-rail grade crossings with monotonic neural networks.

Accident; analysis and prevention
Despite advances in highway-rail grade crossing (HRGC) safety, including widespread use of active control devices, crashes at these intersections still lead to severe outcomes. Conventional crash prediction models often fail to capture severity-level... read more 

Convergence of machine learning and genomics for precision oncology.

Nature reviews. Cancer
The number of data points per patient considered at the point-of-care in precision cancer medicine continues to increase, and it is accompanied by a growing challenge of translating these observations into clinical insights. This is a time-intensive ... read more 

UDV-Net: A hybrid CNN and transformer vein segmentation network with vascular prior and spatial awareness.

Medical image analysis
CNNs handling multi-scale variations and Transformers modeling long-range dependencies are crucial for vascular segmentation. The fusion of these two models effectively combines the multi-scale local features extracted by CNNs with the global informa... read more 

Artificial intelligence in academic research publishing: updates, controversies, and considerations for pregnancy and perinatal research.

American journal of obstetrics & gynecology MFM
Artificial intelligence (AI) has rapidly transformed academic writing and publishing, progressing from simple grammar checkers and citation tools to sophisticated large language models capable of generating, synthesizing, and critically evaluating sc... read more