Staffing & Scheduling

Prediction model for postoperative urinary retention in patients undergoing totally extraperitoneal groin hernia repair.

BACKGROUND: Postoperative urinary retention remains a common complication after totally extraperitoneal groin hernia repair, often prolonging hospitalization and increasing patient discomfort. This study aimed to develop a prediction model using machine learning for postoperative urinary retention risk stratification.

Application of multimodal machine learning-based analysis for the biomethane yields of NaOH-pretreated biomass.

This study investigated the impact of alkaline pretreatment on the biomethane yield of Xyris capensis experimentally and computationally using machine-learning (ML)-based techniques. Despite extensive studies on the anaerobic digestion of lignocellulosic biomass, the integration of a robust nexus of advanced data analytics, including explainable AI (XAI) based on SHapley Additive exPlanations (SHA...

Trends and Innovations in Tools for Processing Chromatographic Data Using Mass Spectrometry Detection: A Systematic Review.

Chromatographic data processing represents an increasing challenge in analytical science, particularly due to the complexity of samples and the large ...

Machine learning for predicting and optimizing the performance of a commercial-scale anaerobic digester with diverse feedstocks and operating conditions.

The improper disposal of food waste and livestock manure poses significant environmental risks, including nutrient pollution, water contamination, and...

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 are aimed at the coupling of angiogenesis and osteog...

Tracing the evolutionary pathway of SARS-CoV-2 through RNA sequencing analysis.

The COVID-19 pandemic, driven by the Severe Acute Respiratory Syndrome Coronavirus-2 (SARS-CoV-2), has underscored the need to understand the virus's ...

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 decision-making, particularly in the context of multi...

Aggressiveness-guided nodule management for lung cancer screening in Europe-justification for follow-up intervals and definition of growth.

The European Society of Thoracic Imaging (ESTI) nodule management recommendation for lung cancer screening with low-dose CT builds on existing nodule ...

Lung cancer screening with low-dose CT: definition of positive, indeterminate, and negative screen results. A nodule management recommendation from the European Society of Thoracic Imaging.

Early detection of lung cancer through low-dose CT lung cancer screening in a high-risk population has proven to reduce lung cancer-specific mortality...

Plant leaf disease detection using vision transformers for precision agriculture.

Plant diseases cause major crop losses worldwide, making early detection essential for sustainable farming. Traditional methods need large training da...

Uncovering subtype-specific metabolic signatures in breast cancer through multimodal integration, attention-based deep learning, and self-organizing maps.

This study integrates multimodal metabolomic data from three platforms-LC-MS, GC-MS, and NMR-to systematically identify biomarkers distinguishing brea...

Integrated analysis of shared gene expression signatures and immune microenvironment heterogeneity in type 2 diabetes mellitus and colorectal cancer.

Emerging evidence suggests a bidirectional relationship between colorectal cancer (CRC) and type 2 diabetes mellitus (T2DM), yet the shared molecular ...

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, dynamic nature of resource states and workloads. T...

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. Addressing the challenges associated with time-consumi...

Machine learning-based optimization of biogas and methane yields in UASB reactors for treating domestic wastewater.

This study aimed to optimize biogas and methane production from Up-flow anaerobic sludge blanket reactors for treating domestic wastewater using advan...

Increasing Rigour in Online Health Surveys Through the Reduction of Fraudulent Data.

Online surveys have become a key tool of modern health research, offering a fast, cost-effective, and convenient means of data collection. It enables ...

[Implementation of artificial intelligence (AI) in healthcare: historical development, current technologies and challenges].

The historical development of artificial intelligence (AI) in healthcare since the 1960s shows a transformation from simple rule-based systems to comp...

Few-Shot Learning for Prostate Cancer Detection on MRI: Comparative Analysis with Radiologists' Performance.

Deep-learning models for prostate cancer detection typically require large datasets, limiting clinical applicability across institutions due to domain...

Orchestrating Penta-Element Interplay in Gradient-porous Carbons for Advanced Sodium-Ion Hybrid Capacitors.

Sodium-ion hybrid capacitors (SIHCs) offer a cutting-edge synergy between battery-level energy density and supercapacitor-like power density, yet face...

Emergency radiology: roadmap for radiology departments.

Emergency radiology has evolved into a significant subspecialty over the past 2 decades, facing unique challenges including escalating imaging volumes...