Staffing & Scheduling

Lessons learned from an executive leadership development program, and their impact in academic radiology.

Academic medical centers, and particularly academic radiology, are undergoing profound transformations driven by factors such as expansion of clinical workload, workforce shortages, progressive expectations for educational and research activities, increasing enterprise integration, and the need for rapid adoption of new and developing technologies such as artificial intelligence. As a result, radi...

High-Resolution Diffusion-Weighted Imaging With Self-Gated Self-Supervised Unrolled Reconstruction.

PURPOSE: High-resolution diffusion-weighted imaging (DWI) is clinically demanding. The purpose of this work is to develop an efficient self-supervised algorithm unrolling technique for submillimeter-resolution DWI. METHODS: We developed submillimeter DWI acquisition utilizing multi-band multi-shot EPI with diffusion shift encoding. We unrolled the alternating direction method of multipliers (ADMM)...

[Telemedicine in heart failure : Evidence, benefits and future perspectives].

In recent years telemonitoring for heart failure (TmHi) has transitioned from project-based pilot applications to a structured and fully reimbursed co...

Using Artificial Intelligence Methods to Evaluate the Effect of the National Cytomegalovirus Awareness Month on the Content and Sentiment of Social Media Posts: Infodemiology Study.

BACKGROUND: The month of June has been recognized as the National Cytomegalovirus (CMV) Awareness Month since 2011 in the United States. Established b...

Community participatory Jingchu folk pattern generation platform construction and user co-creation mechanism analysis.

In the context of the digital era, the protection and inheritance of traditional cultural heritage face unprecedented opportunities and challenges. Th...

Lifelong knowledge graph embedding via diffusion model.

Lifelong knowledge graph embedding (KGE) methods aim to learn new knowledge continuously while retaining old knowledge. This line of work has received...

Organic neuromorphic vision devices with multilevel memory for palmprint identification.

Neuromorphic visual devices have emerged as a critical strategy to address the limitation of the von Neumann bottleneck. However, the role of interfac...

From batch to fixed-bed biosorption of Congo red using surfactant-modified wood chips: Mechanistic insights, regeneration, real wastewater validation and machine-learning modelling.

This study examines the biosorption capacity of raw wood chip (WC) and cetyltrimethylammonium bromide-modified wood chips (WC-CTAB) in removal of Cong...

Linking subjective experience of anxiety to brain function using natural language processing.

Research on anxiety focuses on clinically relevant behaviours and neurophysiological responses, particularly emphasizing recruitment of amygdala, insu...

iMCN: information compression-based multimodal confidence-guided fusion network for cancer survival prediction.

The rapid development of deep learning-based computational pathology and genomics has demonstrated the significant promise of effectively integrating ...

Hybrid GELAN-UNet: Integrating Medical Priors for Low-Dose CT Denoising.

Low-Dose Computed Tomography (LDCT) reduces radiation risk but introduces high noise levels that compromises diagnostic quality. To address this, we p...

Object detection on low-compute edge SoCs: a reproducible benchmark and deployment guidelines.

Deploying deep learning-based object detectors on low-compute edge AI SoCs remains challenging, as real-world performance depends on factors beyond no...

Enhancing urban river self-purification through riverbed substrates configuration: A nature-based solution for nutrient removal and restoration planning.

Appropriate riverbed substrates, as nature-based engineering components, are critical for enhancing nutrient mitigation and ecosystem sustainability i...

Experimental dataset of the reverse water-gas shift reaction in a fixed-bed reactor setup under varying reactor conditions.

This data article presents a dataset of miniplant-scale reverse water-gas shift (rWGS) experiments conducted in a heated fixed-bed reactor under syste...

Implementation of reconfigurable logic-in memory in a cultured neuronal network with a crossbar structure.

The concept of logical neural networks, proposed by McCulloch and Pitts, along with Hebb's postulate of learning-specifically, spike-timing-dependent ...

A channel water temperature prediction method based on transfer learning and spatial-temporal graph neural networks.

Accurate water temperature forecasting during winter operation periods is critical for the North Extension of the Eastern Route of the South-to-North ...

Interface-engineered Gd₂O₃/ZrO₂ bilayer memristor for emulating synaptic plasticity in neuromorphic systems.

Rare-earth-based materials are attracting growing interest for neuromorphic devices due to their unique electronic structures, defect engineering capa...

Case-based reasoning for clinical trial recruitment tools in oncology: When you need patients to find patients.

BACKGROUND: Patient recruitment for clinical trials remains a major challenge, with 86% of trials failing to meet enrollment targets on time. In over ...

Artificial intelligence for schizophrenia: from unimodal prediction to multimodal characterization.

PURPOSE OF REVIEW: Artificial intelligence is increasingly advancing both fundamental research and clinical applications in schizophrenia. This review...

Transformer-based feature extraction approach for hematopoietic cancer subtype classification.

Accurate classification of hematopoietic cancer subtypes remains challenging due to the multipotent nature of hematopoietic cells and the absence of d...