Staffing & Scheduling

Divide-and-conquer strategy with engineered ossification center organoids for rapid bone healing through developmental cell recruitment.

Current approaches for bone repair predominantly target localized delivery of growth factors that ar...

RSLpred2: An Integrated Web Server for the Annotation of Rice Proteome Subcellular Localization Using Deep Learning.

Rice is one of the most important staple crops, providing food for more than one-half of the world's...

Can Whole-Thyroid-Based CT Radiomics Model Achieve the Performance of Lesion-Based Model in Predicting the Thyroid Nodules Malignancy? - A Comparative Study.

Machine learning is now extensively implemented in medical imaging for preoperative risk stratificat...

Enhancing game outcome prediction in the Chinese basketball league through a machine learning framework based on performance data.

Basketball remains among the most globally popular sports, with its various competitions drawing sub...

Fluorescence Guided Raman Spectroscopy enables the training of robust support vector machines for the detection of tumour marker proteins.

Raman spectroscopy provides comprehensive biochemical information on a sample's composition, yet it ...

3rd Comprehensive Survey of the Neuroradiology Work Environment in the United States with Reported Trends in Clinical Work, Nonclinical Work, Errors, Burnout and Retirement.

BACKGROUND AND PURPOSE: With the workforce shortage in the United States, neuroadiologists' workload...

Does Hessian Data Improve the Performance of Machine Learning Potentials?

The integration of machine learning into reactive chemistry, materials discovery, and drug design is...

Accelerating Data Set Population for Training Machine Learning Potentials with Automated System Generation and Strategic Sampling.

Machine Learning Interatomic Potentials (MLIPs) offer a powerful way to overcome the limitations of ...

Towards reliable WMH segmentation under domain shift: An application study using maximum entropy regularization to improve uncertainty estimation.

BACKGROUND: Accurate segmentation of white matter hyperintensities (WMH) is crucial for clinical dec...

This AI 'thinks' like a human - after training on 160 psychology studies.

Comparison of machine learning model performance for predicting the climate variables in Johor Bahru, Malaysia.

Accurately predicting climate variables such as air temperature, humidity and precipitation plays a ...

Facial Emotion Recognition of 16 Distinct Emotions From Smartphone Videos: Comparative Study of Machine Learning and Human Performance.

BACKGROUND: The development of automatic emotion recognition models from smartphone videos is a cruc...

Utilization of artificial intelligence-based pulmonary nodule target reconstruction software in clinical practice education for standardized training residents.

Neural networks with personalized training for improved MOLLI T mapping.

BACKGROUND: The aim of this study was to develop a method for personalized training of Deep Neural N...

Shift nurses' work quality and job satisfaction after implementing the Inha University hospital nursing AI scheduling system (IH-NASS).

BACKGROUND: Shift work is essential for nurses and is the backbone of the healthcare workforce. Addr...

Student perceptions of GenAI as a virtual tutor to support collaborative research training for health professionals.

BACKGROUND: Research and evaluation skills are essential in healthcare education. Instructors freque...

Dynamic load balancing in cloud computing using predictive graph networks and adaptive neural scheduling.

Load balancing is one of the significant challenges in cloud environments due to the heterogeneity, ...

Beyond accuracy: a framework for evaluating algorithmic bias and performance, applied to automated sleep scoring.

Recent advancements in artificial intelligence (AI) have significantly improved sleep-scoring algori...

Adaptive neuro-fuzzy inference systems for improved mastitis classification and diagnosis.

For modeling dairy cattle data, fuzzy logic offers the capability to manage uncertainty, enhance acc...

Enhanced security for IoT cloud environments using EfficientNet and enhanced football team training algorithm.

The growing implementation of Internet of Things (IoT) technology has resulted in a significant incr...

Use of a sperm morphology assessment standardisation training tool improves the accuracy of novice sperm morphologists.

Sperm morphology assessment is recognised as a critical, yet variable, test of male fertility. This ...