Staffing & Scheduling

Black-box data: a new paradigm for biomedicine in the AI era.

As artificial Intelligence cements its role as a cornerstone of scientific discovery, the field is undergoing a fundamental shift beyond the current transition from "white-box" first-principles models to "black-box" deep learning. We argue that a parallel, necessary transformation is emerging in data generation: the rise of "black-box data." These data sources are intentionally optimized for machi...

Time Savings Through an AI Speech Assistant for Nursing Documentation: Pre-Post Time-Motion Study in German Long-Term Care.

BACKGROUND: Nurses in long-term care spend up to one-third of their working time on documentation, contributing to administrative burden and limited time for direct care. Artificial intelligence (AI) speech assistants have shown potential to accelerate documentation, but longitudinal evidence from real-world long-term care settings remains scarce. OBJECTIVE: This study aimed to evaluate whether im...

A transfer-aware, deployment-oriented evaluation framework for NetFlow-based intrusion detection systems (TAN-IDS).

Machine learning-based Intrusion Detection Systems (IDS) often report high detection accuracy under controlled, single-dataset evaluation, yet experie...

HACR-Net: An Efficient hybrid attention network for MRI image super-resolution.

High-resolution Magnetic Resonance Imaging (MRI) plays an important role in clinical diagnosis and pathological assessment, due to its non-invasive na...

Multimodal fusion of speech and PHQ-9 for machine learning-based adolescent depression screening.

BACKGROUND: Traditional screening for adolescent depression primarily relies on self-reported symptoms. However, this method is vulnerable to under-re...

Bias, fairness, and equity in artificial intelligence systems used in dental imaging: A systematic review.

BACKGROUND: Artificial intelligence (AI) is increasingly used in dental imaging for automated interpretation of dental images and as a clinical decisi...

Unraveling the Temperature Effects on the Raman Spectra of V2O5 by Combining Machine Learning and Molecular Dynamics.

Raman spectroscopy serves as a powerful operando tool for probing the atomic structure in catalysts and functional materials, yet interpreting the spe...

NQO1-Mediated Anoikis Resistance and Immune Evasion Define a High-Risk Multi-Omic Subtype for Precision Management of T1 High-Grade Bladder Cancer.

T1 high-grade (T1HG) bladder cancer represents an aggressive subset of non-muscle-invasive bladder cancer (NMIBC) with frequent Bacillus Calmette-Guér...

Real-World Data From a Group Parent Management Training Program Enhanced Using Artificial Intelligence: Qualitative Study.

BACKGROUND: Parent management training (PMT) is an evidence-based intervention for children with disruptive behavior problems. However, access to care...

Bridging the Gap in Chinese Legal Conflict Review: A Dataset, Benchmark Tasks, and Framework.

Natural language processing has enabled rapid progress in legal artificial intelligence, but automated review of conflicts between superior and subord...

Inspiring the next generation of academic radiologists: A leadership journey.

Academic radiology departments in the United States are essential to patient care, education, research, and innovation, yet they face growing challeng...

Three decades of hemodynamic monitoring (1995-2025): from invasive pressure based hemodynamic profiling to functional physiology.

PURPOSE OF REVIEW: Hemodynamic monitoring has undergone a profound transformation over the last 30 years. The field has transitioned from the "standar...

Building Purpose-Driven Radiology Departments: Distributive and Servant Leadership in Action.

Radiology is increasingly defined by interdependence: imaging value is created through tightly coupled relationships among radiologists, technologists...

An Interpretable, Thermodynamics-Based Deep Learning Framework for Predicting and Optimizing Drug Membrane Permeability.

Cellular membranes serve as selective barriers, and membrane permeability is crucial for drug pharmacokinetics. While in vitro and in vivo methods exi...

Targeted Real-Time Assessment of Chronic Pain (TRAC-Pain) in Youth: Protocol for a Digital Biosignature Development Through a Prospective Observational Cohort Study.

BACKGROUND: Approximately 1 in 5 children and adolescents live with chronic pain, with musculoskeletal (MSK) pain being one of the most prevalent subt...

Blockchain and bio-inspired deep learning for energy-efficient EV-to-grid optimization.

Electric Vehicle-to-Grid (V2G) arrangements stand at the center of bidirectional energy exchange in modern smart grids and are, however, challenged by...

Evaluating a digital serious game for learning medical terminology in a randomized controlled trial.

Healthcare students often struggle with learning medical terminology due to its complexity and abstract nature. This randomized controlled trial asses...

An ethics-informed computable audit framework for monitoring misdiagnosis risk in AI-assisted diagnosis.

Diagnostic AI can misclassify under distribution shift and subgroup imbalance; governance signals are rarely computable at deploy time. We target depl...

A machine learning approach to using ultrasound for body composition and nutritional status assessment in newborns: a pilot study protocol.

BACKGROUND: Accurate assessment of infant body composition, specifically fat and fat-free mass, is crucial for evaluating growth and nutritional statu...

Digital health and machine learning in population health and wellness management: A scoping and bibliometric review of effectiveness, equity, and implementation challenges.

Machine learning (ML) in digital health applications is becoming more popular for the general management of population wellness and the promotion of l...