Staffing & Scheduling

Concordance-Based Validation of Electronic Health Records and Modality Log Files to Improve MRI Exam Duration Prediction and Scheduling Performance.

Integrating multi-source healthcare data for predictive modeling requires rigorous data quality validation, yet concordance between data systems is rarely assessed prior to model development.This study evaluated inter-system concordance between magnetic resonance imaging (MRI) exam duration data derived from modality log files (MLFs) and electronic health records (EHRs), developed a concordance-ba...

Revolutionizing radiology education: exploring and implementing spaced repetition in radiology teaching and curricula.

OBJECTIVE: This manuscript explores spaced repetition (SR), a revolutionary learning technique, within radiology education to address the challenges of rapidly expanding medical knowledge and condensed training schedules. It also offers a practical guide on implementing SR within radiology curricula. SUMMARY: SR is an evidence-based learning strategy that optimizes long-term retention by schedulin...

How work hours affect well-being: A target trial emulation.

Studies link longer work hours to multiple dimensions of well-being, but correlations do not show what would happen if hours changed. Target-trial emu...

Use of artificial intelligence in magnetic resonance imaging across the epileptic patient's journey: A meta-analysis of four clinical applications.

OBJECTIVE: The application of artificial intelligence/machine learning (AI/ML) to magnetic resonance imaging (MRI) promises to enhance and support cli...

Zero echo time MRI with deep learning reconstruction and chemical shift correction for detecting osteolytic myeloma lesions.

OBJECTIVE: We compared three magnetic resonance imaging (MRI) sequences-native zero echo time (ZTE), deep learning (DL)-chemical shift correction (CSC...

Center of mass feedback for joint torque control during perturbed standing: a potential generalizable control approach for balance augmentation in wearable robots.

BACKGROUND: Exoskeletons have the potential to augment balance and decrease fall risk. However, existing balance-augmenting wearable robotic controlle...

Results of a new model of videotraining for patients and caregivers for peritoneal dialysis: food for (AI) thought?

BACKGROUND: In an attempt to overcome the space-time limitations of traditional training we used a new telemedicine home-training model (Videotraining...

Advancing Gastrointestinal Cancer Risk Prediction With Patient-Centered Machine Learning: Machine Learning Modeling Study.

BACKGROUND: Gastrointestinal (GI) cancers are a significant health concern in South Korea. Recently, machine learning (ML) models have emerged as powe...

Physical Attractiveness and Chances of Being Invited to Interview With a Medical Residency Program: Retrospective Cohort Study.

BACKGROUND: Applicants participating in the Residency Match generally submit a photograph through the Electronic Residency Application Service (ERAS)....

Automated FDG uptake/PET-CT fused scan diagnosis of various lymph node tumors using object detection AI techniques.

Lymph nodes (LN) constitute a vital component of the lymphatic system, serving a pivotal role in immune functioning and maintaining fluid balance in t...

Spatiotemporal dynamics and nonlinear drivers of ecosystem service synergies and trade-offs in Shaanxi, China.

Spatiotemporal interactions among ecosystem services (ES) and their drivers are essential for sustainable landscape management. This study employs the...

Narrative Review on History of Point-of-Care Ultrasound Training in Critical Care.

INTRODUCTION/PURPOSE: Point-of-care ultrasound (PoCUS) has evolved from bulky radiology-based machines to a core bedside tool in critical care. Traini...

Rapid Musculoskeletal MRI in 2026: Clinical Integration of Deep Learning Reconstruction.

Advances in MRI hardware and acceleration strategies have enabled substantial reductions in musculoskeletal MRI acquisition times over the past decade...

Machine Learning-Assisted KCl-CaCl2-LiCl Electrolyte Design for Low-Temperature, High-Performance Calcium-Based Liquid Metal Batteries.

Calcium-based liquid metal batteries are promising for large-scale energy storage due to calcium abundance and low cost, yet their practical applicati...

Global Characterization of Sea Turtle Ecological Traps under Compound Marine Heatwaves and Microplastics.

The concurrent intensification of marine heatwaves (MHW) and microplastics (MPs) pollution presents a complex challenge for environmental risk assessm...

AI-Driven Design and Clinical Translation of Nucleotide-Peptide and Peptide-Drug Conjugates.

While nucleotide-peptide conjugates and peptide-drug conjugates demonstrate a considerable evolution as next-generation therapeutics, the successful t...

The role of interpersonal trust in public acceptance of AI-driven recruitment.

As artificial intelligence (AI) technology expands into decision-making domains such as recruitment, concerns over fairness, transparency, and public ...

Design of an AI-based security anomaly detection system for IoT terminals based on the ViT-transformer fusion model.

The deep penetration of IoT terminals in water systems, healthcare, transportation, and other fields has exacerbated security threats such as cyber-ph...

Proteomic signatures of early retinal neurodegeneration in type 2 diabetes mellitus.

BACKGROUND: Retinal neurodegeneration is an early and independent feature of diabetic retinal disease and has been proposed as a window into the syste...

Development and Implementation of a Machine Learning Model for Prediction of Surgical Case Duration.

BACKGROUND: Accurate surgical case duration estimation (CDE) is critical for operating room efficiency, staffing, resource allocation, and patient saf...