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Deep learning-based non-contrast CT imaging markers enhance post-transfer DWI core volume prediction.

BACKGROUND: Deep learning enables the extraction of ischemic lesion size and hypodensity imaging markers from noncontrast CT (DLNCCT) in patients with acute ischemic stroke, but it remains unclear whether those markers can predict post-transfer core volume. METHODS: We performed a post-hoc analysis of prospectively enrolled patients transferred from a primary to a comprehensive center (PSC/CSC) fo...

Diagnostic Improvement in Endoleak Detection: The Role of Low-energy Virtual Monochromatic CT and Deep Learning Reconstruction.

To assess the diagnostic performance of low-energy virtual monochromatic CT imaging (VMI) combined with deep learning image reconstruction (DLIR) for detecting endoleaks. Seventy-one patients who underwent contrast-enhanced CT after endovascular aortic repair (EVAR) were retrospectively studied, with endoleaks being identified in 41 (58%) of them. CT raw data were reconstructed using three techniq...

Hypothesis Generation via Interpretable Machine Learning: A Case Study on Risk Factors for Postradiation Therapy Lung Cancer Recurrence.

PURPOSE: Interpretability is highly desirable for oncologic outcome prediction, as it increases the level of transparency and trustworthiness of the m...

A Randomised Study of ChatGPT-4o vs. Written Materials for Teaching Periodontal-Systemic Relationships in Dental Education.

INTRODUCTION: The bidirectional relationship between periodontal and systemic diseases (particularly diabetes and cardiovascular diseases) is central ...

Benchmarking Hybrid CNN-Transformer Versus Pure Transformer Architectures for Accelerated Hyperpolarized 129Xe MRI Reconstruction.

BACKGROUND: Hyperpolarized 129Xe MRI faces technical challenges including low signal-to-noise ratio and breath-hold constraints. Current literature fo...

Beyond the Hype: Understanding the Limits, Errors and Risk Areas of Artificial Intelligence in Gastroenterology.

Artificial intelligence (AI) has rapidly expanded across gastroenterology, enabling advances in real-time endoscopic detection, radiologic interpretat...

Pediatric Firearm Risk Prediction in Trauma Centers and After Discharge: A Machine Learning Analysis.

OBJECTIVE: We used machine learning (ML) to develop firearm risk prediction models for injured children and adolescents admitted to U.S. trauma center...

Opposition to Youth e-Cigarette Prevention Campaigns on Twitter and TikTok: Cross-Platform Observational Mixed Methods Analysis.

BACKGROUND: Youth e-cigarette use rose sharply between 2013 and 2024 in the United States, prompting widespread prevention campaigns at national, stat...

Reducing breath-hold time in liver MRI: Clinical performance of deep learning-accelerated post-contrast T1 VIBE sequences.

BACKGROUND: Post-contrast liver MRI often requires long breath-holds, risking motion artifacts that can reduce diagnostic quality. We assessed whether...

SPARTAN: automated table detection and extraction from documents using advanced OpenCV heuristics and OCR techniques.

The rapid growth of born-digital PDF documents has amplified the demand for fast, precise tabular data extraction on an industrial scale. State-of-the...

Establishment of a novel deep learning-based method for gait analysis after peripheral nerve injury in pigs.

BACKGROUND: Peripheral nerve injury with deficits has poor functional prognosis, making motor function assessment during nerve regeneration crucial. R...

Towards fair and trustworthy heart rate estimation from wrist-worn photoplethysmography: a multi-wavelength dataset and uncertainty-aware deep learning approach evaluated across skin tones, sexes, and motion conditions.

OBJECTIVE: To improve fairness (reduced disparities across skin tones and sexes) and trust (well-calibrated uncertainty metrics that indicate unreliab...

A field boundary dataset for the canadian prairies derived from sentinel-2 imagery using the segment anything model.

This article presents a Prairie-wide spatial vector dataset of agricultural field boundaries across Alberta, Saskatchewan, and Manitoba, Canada. The d...

Extubation Decision Support in Critical Care: A Multimodal Machine Learning Framework Integrating Segmented Radiographs and Routine Clinical Data.

Extubation failure remains a major challenge in critically ill patients and is associated with adverse clinical outcomes. Current extubation decisions...

Precision percutaneous coronary intervention.

Precision-based percutaneous coronary intervention (PCI) integrates contemporary strategies across the pre-, intra-, and post-procedural phases to imp...

The inflammation-microvascular axis in prognosis: Integrated FAI and AMR assessment for risk stratification after PCI in NSTEMI patients.

BACKGROUND: Despite successful percutaneous coronary intervention (PCI), patients with non-ST-segment elevation myocardial infarction (NSTEMI) remain ...

Strengthening Pharmacovigilance in Latin America: Multidisciplinary Insights from Two ISoP Latin American Chapter Symposia.

Pharmacovigilance in Latin America has witnessed notable progress in recent years, marked by advancements in regulatory frameworks, regional cooperati...

Rapid earthquake damage assessment via hybrid LSTM-RNN with a quantum-inspired classification head based on Autonomous Perceptron Model APM.

Rapid post-event assessment of earthquake damage is essential for resilient emergency response and risk mitigation. We present a multi-scenario deep l...

BGC-LiteNet: BeiDou grid code embedded lightweight neural architecture for real-time UAV fire detection and localization.

Real-time fire detection and precise geographic localization using unmanned aerial vehicles (UAVs) are critical for early forest-fire warning. However...

Profiling of hypoxic and extracellular matrix remodeling markers in biofluids and cerebral tissue after traumatic brain injury: expression and signaling crosstalk of HIF-1α, MMP-9/14 and EPHA2.

Traumatic brain injury (TBI) remains a formidable clinical, neuropathological, and forensic challenge, constituting a leading cause of death as well a...