Product Alert

Real-Time Deep-Learning Image Reconstruction and Instrument Tracking in MR-Guided Biopsies.

BACKGROUND: Transrectal in-bore MR-guided biopsy (MRGB) is accurate but time-consuming, limiting clinical throughput. Faster imaging could improve workflow and enable real-time instrument tracking. Existing acceleration methods often use simulated data and lack validation in clinical settings. PURPOSE: To accelerate MRGB by using deep learning for undersampled image reconstruction and instrument t...

Data analytics for error detection in clinical laboratories.

Errors inevitably occur in the practice of laboratory medicine. A cornerstone of clinical laboratory quality management is the detection of erroneous results and the assessment of imprecision, bias, and other performance limitations of clinical test methods, particularly those affecting patient care. Errors can arise in each of what has been conventionally regarded as the three key phases of testi...

Deep learning-based cross-device standardization of surface-enhanced Raman spectroscopy for enhanced bacterial recognition.

Surface-enhanced Raman spectroscopy (SERS) is a powerful, label-free technique for pathogen detection; however, its broader adoption in clinical diagn...

Single Port Robot-Assisted Supraclavicular Flap Repair of Iatrogenic Hardware-Associated Pharyngeal Perforation: A Case Report.

BACKGROUND: The incidence of iatrogenic pharyngeal perforation has been reported to comprise 50%-75% of all pharyngeal perforations. In the context of...

Beyond black boxes: using explainable causal artificial intelligence to separate signal from noise in pharmacovigilance.

Artificial intelligence (AI), particularly machine learning (ML), is increasingly influencing pharmacovigilance (PV) by improving case triage and sign...

Predictive Value of Geriatric Nutritional Risk Index and Risk Analysis Index for Post-operative Outcomes in Spine Surgery Patients: A Comprehensive Analysis.

Study DesignRetrospective cohort study.ObjectivesFrailty and nutritional status are predictors of adverse spine surgery outcomes. This study evaluated...

Ultra-Low-Dose CTPA Using Sparse Sampling CT Combined with the U-Net for Deep Learning-Based Artifact Reduction: An Exploratory Study.

This retrospective study evaluates U-Net-based artifact reduction for dose-reduced sparse-sampling CT (SpSCT) in terms of image quality and diagnostic...

Identification of key genes in intracranial aneurysm via WGCNA: insights into immune microenvironment and therapeutic targets.

BACKGROUND: Intracranial aneurysms (IA) are prevalent vascular lesions whose rupture causes subarachnoid hemorrhage with high disability and mortality...

Navigating Medical Device Safety: Current Status, Challenges, and Future Regulatory Directions.

Medical devices are indispensable in modern healthcare. They enable the prevention, diagnosis, and treatment of diseases while enhancing patient outco...

Artificial intelligence in pharmacovigilance signal management: a review of tools, implementations, research, and regulatory landscape.

INTRODUCTION: The integration of artificial intelligence (AI) into pharmacovigilance (PV) has advanced rapidly in recent years. AI tools have the pote...

Detecting Artificial Intelligence-Generated Text in Personal Statements of Adult Reconstruction Fellowship Applicants.

BACKGROUND: Artificial intelligence (AI), particularly large language models such as Chat Generative Pre-Trained Transformer (ChatGPT), has expanded a...

Perspectives on data analytics for gaining a competitive advantage in football: computational approaches to tactics.

The role of data-driven analyses is becoming more prominent in football. These have the potential to impact decision-making processes for team perform...

Large language models in medical education: a comparative cross-platform evaluation in answering histological questions.

Large language models (LLMs) have shown promising capabilities across medical disciplines, yet their performance in basic medical sciences remains inc...

Diffusion-weighted imaging in rectal cancer MRI from theory to practice.

Diffusion-weighted imaging (DWI) has become a cornerstone of high-resolution rectal MRI, providing critical functional information that complements T2...

Flow-Rate-Constrained Physics-Informed Neural Networks for Flow Field Error Correction in Four-Dimensional Flow Magnetic Resonance Imaging.

In this study, we present enhanced physics-informed neural networks (PINNs), which were designed to address flow field errors in four-dimensional flow...

Genome sequencing is critical for forecasting outcomes following congenital cardiac surgery.

While exome and whole genome sequencing have transformed medicine by elucidating the genetic underpinnings of both rare and common complex disorders, ...

MoTe synaptic transistor and its application to physical reservoir computing.

In this study, we systematically analyzed the synaptic properties of an MoTe-based transistor and propose a physical reservoir computing system based ...

Attribution-based interpretable classification neural network with global and local perspectives.

Neural networks are challenging to apply in domains requiring high reliability due to their black-box nature, and researchers are increasingly focusin...

Post-hoc eXplainable AI methods for analyzing medical images of gliomas (- A review for clinical applications).

Deep learning (DL) has shown promise in glioma imaging tasks using magnetic resonance imaging (MRI) and histopathology images, yet their complexity de...

Kinetics and Product Branching in Dihydrogen Activation by Gaseous Manganese Monoxide Cations.

The activation of dihydrogen by transition-metal monoxide cations (MO) in the gas phase offers valuable mechanistic insight into multistate reactions....