Staffing & Scheduling

Artificial intelligence-enhanced microsurgical training: a systematic review.

Artificial intelligence (AI) offers objective, adaptive tools for skill enhancement in microsurgical training, but evidence is fragmented. This systematic review evaluates AI-enhanced training efficacy compared to traditional methods, focusing on technical performance, learning efficiency, and skill retention. Following PRISMA guidelines, databases (MEDLINE, Embase, Cochrane, IEEE Xplore, Web of S...

Correlation based feature importance analysis for improving machine learning stability predictions in hybrid PV systems.

Accurate prediction of grid voltage and stability is critical for ensuring reliable and efficient operation of modern power systems, especially with the increasing integration of intermittent renewable energy sources. This study rigorously evaluates five Machine Learning (ML) models, viz., Random Forest (RF), Extra Trees (ET), Support Vector Regression (SVR), Cat Boost (CB), and Gradient Boosting ...

Interpretable spatiotemporal machine learning reveals hydrogeological and climatic controls on groundwater heavy metal transport in acid mine drainage.

Acid mine drainage (AMD) generated by sulfide-bearing waste rock dumps poses persistent risks to groundwater through acidic leachate and heavy-metal m...

Bio-Inspired Design of Quasi-Ordered Structural Color via Stress-Driven Reconfiguration Enables Ultra-Secure and Scalable Unclonable Application.

Physically unclonable functions (PUFs) offer intrinsic security for next-generation authentication systems, yet current optical PUFs face a trilemma-s...

Decision tree classification of RPE-Based internal load in youth badminton players based on fitness and anthropometric profiles.

Understanding the relationship between fitness, anthropometric characteristics, and internal load is essential for optimising training and reducing in...

Adaptive learning rate optimization in deep recurrent architectures for precision PM2.5 forecasting under climate variability.

Accurate forecasting of fine particulate matter (PM_{2.5}) is critical for safeguarding public health; however, conventional deep learning models freq...

A New Dawn: Resident Recruitment in the United States in the Post-COVID Era.

The widespread adoption of virtual residency interviews in response to the COVID-19 pandemic led to an explosion in literature comparing the pros and ...

Intraoperative Ultrasound-Based Displacement Mapping Through Deep Learning.

BACKGROUND AND OBJECTIVES: Brain shift during neurological surgery for brain tumors can be caused by factors such as retraction, resection, and osmoti...

Artificial intelligence enhances screening efficiency for inflammatory bowel disease clinical trials: a prospective study.

An LLM-based AI tool significantly improved identification of potentially eligible patients and screening efficiency for IBD clinical trials, outperfo...

Using participatory action research to develop an artificial intelligence-augmented, peer-driven, case-based, and simulation-enhanced curriculum for emergency medicine residents.

This work describes the use of participatory action research to develop an artificial intelligence (AI)-augmented, peer-driven, case-based, and simula...

Insights on Recruitment, Implementation, and Movement Pattern Detection by Exploring the Feasibility of Sensor-Based Insole Technology in Long-Term Care: Mixed Methods Feasibility Study.

BACKGROUND: Sensor-based footwear is increasingly discussed as a promising tool for mobility monitoring and fall-risk assessment, yet its applicabilit...

Artificial intelligence application in routine pathology: ChatGPT-4.0 and Gemini 2.5 pro performance in detection of MMR-deficiency in colorectal cancer.

PURPOSE: Immunohistochemistry (IHC) is a crucial step in the diagnostic and therapeutic management of colorectal carcinoma (CRC). This study aimed to ...

Deep learning-driven microfluidic chip architecture design for intelligent particle motion control.

Precise spatiotemporal manipulation of particles in complex microfluidic channel networks (MCNs) underlies numerous advanced applications, but remains...

IALA-LNN: Deep Learning for Peptide Retention Time Prediction Based on Improved Artificial Lemming Algorithm-Optimized Liquid Neural Networks.

Accurate prediction of peptide retention times is crucial for reliable identification in liquid chromatography-tandem mass spectrometry (LC-MS/MS) pro...

STRATUM-OS: first step in the development and validation of the STRATUM tool based on multimodal data processing to assist surgery in patients affected by intra-axial brain tumours - observational study protocol.

INTRODUCTION: Integrated digital diagnostics can support complex surgeries in many anatomic sites, and brain tumour surgery represents one of the most...

Evaluating Sentinel-2 gap filling techniques for cloud removal and data reconstruction.

Cloud cover creates frequent data gaps in high-resolution satellite imagery, particularly from Sentinel-2. These disrupt its continuity and reliabilit...

Multi-encoder U-Net benchmarking for LiTS17 Liver-Tumor segmentation: accuracy-efficiency trade-offs across training durations.

OBJECTIVES: Accurate liver and tumor segmentation from CT is fundamental for diagnosis, treatment planning, and longitudinal monitoring of liver cance...

Ferroptosis-Related Signature Genes and Immune Landscape in Acute Exacerbation of Chronic Obstructive Pulmonary Disease.

UNLABELLED: Acute exacerbation of chronic obstructive pulmonary disease (AECOPD) is characterized by heightened inflammation and immune dysregulation,...

Mammalian AHR2 loss: Evolutionary patterns, mechanisms, and relevance of biological factors.

Environmental contamination by dioxins and polycyclic aromatic hydrocarbons threatens wildlife health, yet the molecular basis of interspecies variati...

Prioritising follow-up for people with suspected epilepsy using a digital EEG biomarker.

Lengthy waits for follow-up testing are common for people with suspected epilepsy. This delays diagnosis, prolongs uncertainty and increases seizure r...