AIMC Topic: Female

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Enhancing Work Efficiency With Generative Artificial Intelligence: Experience and Training Insights From School Nurses Through Focus Groups and Surveys.

International nursing review
AIM: This study examined the use of generative artificial intelligence (GAI), factors related to its application, and training expectations among school nurses who enrolled as seed instructors in a GAI training program.

Deep-Learning-Driven High Spatial Resolution Attenuation Imaging for Ultrasound Tomography (AI-UT).

IEEE transactions on ultrasonics, ferroelectrics, and frequency control
Ultrasonic attenuation can be used to characterize tissue properties of the human breast. Both quantitative ultrasound (QUS) and ultrasound tomography (USCT) can provide attenuation estimation. However, limitations have been identified for both appro...

Accurate Paediatric Brain Tumour Classification Through Improved Quantitative Analysis of H MR Imaging and Spectroscopy.

NMR in biomedicine
Multimodality imaging is an emerging research topic in neuro-oncology for its potential of being able to demonstrate tumours in a more comprehensive manner. Diffusion-weighted magnetic resonance imaging (dMRI) and proton magnetic resonance spectrosco...

Simultaneous T and ADC Mapping of Acute-to-Chronic Ischemic Stroke With Multiple Overlapping-Echo Detachment Imaging.

NMR in biomedicine
Multiparametric quantitative MRI based on multiple overlapping-echo detachment imaging (MQMOLED) can simultaneously quantify T and ADC with whole brain coverage within 40 s. T and ADC play an important role in the assessment and management of ischemi...

A preliminary exploration of surgical strategies for solitary papillary thyroid carcinoma on the isthmus.

Oral oncology
BACKGROUND: For solitary papillary thyroid carcinoma on the isthmic (SPTCI), there are currently no specific guidelines for the extent of resection and lymph node dissection. This study aims to explore the surgical strategies suitable for patients wi...

Navigating Challenges in the Integration of Artificial Intelligence in Nursing Practice: An Integrative Literature Review.

International nursing review
BACKGROUND: The integration of artificial intelligence (AI) in nursing practice holds promise for enhancing patient care but is hindered by significant challenges.

Artificial intelligence meets dairy cow research: Large language model's application in extracting daily time-activity budget data for a meta-analytical study.

Journal of dairy science
This study investigates the application of ChatGPT-4 in extracting and classifying behavioral data from scientific literature, focusing on the daily time-activity budget of dairy cows. Accurate analysis of time-activity budgets is crucial for underst...

Discovery of protein lactylation-associated biomarkers and their potential pathogenic mechanisms in recurrent spontaneous abortion.

International journal of biological macromolecules
Protein lactylation plays a critical regulatory role in various human diseases; however, its function in recurrent spontaneous abortion (RSA) remains unclear. In this study, we integrated scRNA-seq (GSE214607), bulk RNA-seq (GSE26787 and GSE165004) d...

`Probabilistic ensemble learning for prediction of stroke thrombectomy outcomes from the NeuroVascular Quality Initiative-Quality Outcomes Database (NVQI-QOD) Acute Ischemic Stroke Registry.

Journal of stroke and cerebrovascular diseases : the official journal of National Stroke Association
INTRODUCTION: Mechanical Thrombectomy (MT) is the standard of care in the interventional management of Acute Ischemic Stroke (AIS). The NVQI-QOD registry records detailed patient characteristics, pre-operative imaging, procedure metrics, and post-ope...

Machine learning-assisted tacrolimus dose optimization in childhood- onset systemic lupus erythematosus through population pharmacokinetic modeling.

Computers in biology and medicine
OBJECTIVE: This study aimed to improve treatment effectiveness in childhood-onset systemic lupus erythematosus (cSLE) by developing machine learning algorithms integrated with pharmacokinetic parameters to predict individualized tacrolimus dosing for...