Product Alert

Preliminary findings on a deep learning model using electroencephalogram for multi-level neuropathic pain detection in post-stroke patients.

AIM: Neuropathic pain occurs commonly after stroke and represents a major source of disability for affected patients. This study aims to develop an accurate and computationally efficient framework for multi-level neuropathic pain detection using electroencephalography signals. METHODS: A Quantum-Inspired Pyramid Depthwise Separable Residual Network is proposed, which integrates three innovations: ...

Deep learning-based image reconstruction significantly improves image quality of MRI examinations of the orbit at 3 Tesla.

PURPOSE: The purpose of this study was to assess the benefit of a deep learning-based image reconstruction (DLBIR) for improving image quality in orbital magnetic resonance imaging (MRI) at 3 Tesla (T). MATERIALS AND METHODS: Seventy-one patients (48 women and 23 men) with a mean age of 52 ± 19.5 (standard deviation [SD]) years (age range: 7-90 years) who underwent MRI examination of the orbit at ...

Reveal a risk and potential mechanism for keratoconus progression with isotretinoin: Toxicogenomic, transcriptomics and real-world evidence insights.

PURPOSE: Limited clinical data and unstable animal models hinder understanding isotretinoin-induced keratoconus. We addressed this by integrating phar...

AI in healthcare: mapping Romania's transition from research to intellectual property & industry solutions.

OBJECTIVES: Romania is aligning its healthcare AI ecosystem with the European Union's AI Act (2024/1689), through its own National AI Strategy. Despit...

Proactive and privacy-Preserving defense for DNS over HTTPS via federated AI attestation (PAFA-DoH).

DNS over HTTPS(DoH) improves privacy but still admits tunneling, resolver manipulation, and side-channel leakage. We present PAFA-DoH, a practical def...

Utility and limitations of the FDA adverse events reporting system public dashboard for safety analyses: a case study with vesicular monoamine transporter 2 inhibitors.

INTRODUCTION: The United States Food and Drug Administration (FDA) requires post-marketing surveillance of approved drugs, and pharmaceutical manufact...

AI landmark versus conventional ultrasound-guided injections for adhesive capsulitis: a prospective, propensity score-matched, superiority study.

AIM: To investigate the artificial Intelligence (AI) landmark for guiding rotator cuff interval injections for adhesive capsulitis (AC). MATERIAL AND ...

The Development and Validation of Multivariable Electronic Health Record-Based Models to Predict Diabetic Ketoacidosis-Related Hospitalizations for Adults with Type 1 Diabetes.

AIM: To develop and validate models that use electronic health record (EHR) data to predict diabetic ketoacidosis (DKA)-related hospitalizations over ...

Deep learning-based combined noise reduction and contrast enhancement for post-neoadjuvant pancreatic cancer CT: does improved image quality translate to better resectability assessment?

PURPOSE: To evaluate whether deep learning-based combined noise reduction and contrast enhancement reconstruction (DLR) improves image quality and res...

Transcription Accuracy of Automatic Speech Recognition for Orthodontic Clinical Records.

Accurate clinical records are fundamental to dental practice. Automatic speech recognition (ASR) has the capacity to convert spoken clinical language ...

Achieving faithful explainability in feedforward neural networks through accurately computed feature attribution.

The rapid advancements in machine learning have led to the deployment of complex models in critical domains such as healthcare, finance, and autonomou...

Impact of hypotension prediction index-guided management on intraoperative hypotension and postoperative outcomes in abdominal surgery: A meta-analysis of randomized controlled trials.

BACKGROUND: The Hypotension Prediction Index (HPI) is a machine-learning algorithm designed to predict hypotension. by maintaining mean arterial press...

Systematic post-translational modification genome wide identifies therapeutic targets for Alzheimer's disease: evidence from multi-cohort analysis.

BACKGROUND: The rapid increase in the incidence of Alzheimer's disease (AD) has raised concerns, given its profound effects on both society and the ec...

An Interpretable Machine Learning Model for Early Multitemporal Prediction of Onset of Acute Kidney Injury in Intensive Care Unit Patients with Severe Trauma.

Background: Acute Kidney Injury (AKI), a leading organ failure cause in critical patients, demands early high-risk identification to enhance outcomes....

Multidimensional quantification of pain responses using novel rat pain scale reveals the absence of opioid induced hyperalgesia following chronic contingent and non-contingent morphine exposure in rats.

Opioids are often prescribed to treat chronic and post-operative pain, but there is data to suggest that opioid exposure can lead to hyperalgesia or a...

Strengthening Signal Detection in Pharmacovigilance by Using International Nonproprietary Name (INN) Stems.

'Stems', which mark pharmacological relationships between substances, form the backbone of the International Nonproprietary Name (INN) system, develop...

Comparing the Effectiveness of a Robotic and Dynamic Navigation System in Fiber Post removal: An In Vitro Study.

INTRODUCTION: This in vitro study evaluated the effectiveness of a robotic system (RS) and dynamic navigation system (DNS) compared with the freehand ...

GPT-4o in Nutrition for Inpatients Undergoing Post-Stroke Rehabilitation: Identifying Dietary Errors, Exploring Expert-AI Rationale Differences, and Structuring AI-Expert Collaboration.

OBJECTIVE: Inpatients undergoing stroke rehabilitation experience high malnutrition rates, requiring strict dietary management. However, manual and ti...

A data-driven modeling approach to prediction of persistent foot drop after gastroc-soleus lengthening surgery in children with cerebral palsy.

BACKGROUND: Gastrocsoleus lengthening (GSL) is an established surgical intervention for equinus deformity in children with cerebral palsy (CP). While ...

Artificial Intelligence-Based Algorithms Improve Care of Patients with AAA.

BACKGROUND: Timely detection and monitoring of abdominal aortic aneurysms (AAAs) are necessary to prevent ruptures and decrease mortality. Artificial ...