Devices and Vaccines

Hypoglycemia problem-solving ability as a key predictor of severe hypoglycemia: a machine learning approach in adults with type 1 diabetes.

AIMS/INTRODUCTION: Severe hypoglycemia (SH) is a major complication in adults with type 1 diabetes m...

Non-invasive ovulation tracking enables genetic engineering in wild rodents.

Many non-model rodent species are inaccessible to genetic engineering due to our limited understandi...

Deep learning-driven microfluidic chip architecture design for intelligent particle motion control.

Precise spatiotemporal manipulation of particles in complex microfluidic channel networks (MCNs) und...

AI-driven crown generation: A comparative analysis of point cloud completion models for mandibular first molar restoration.

OBJECTIVES: This study aimed to adapt and evaluate three established artificial intelligence (AI)-dr...

Assessing multimodal large language models for localizing dental implant fixtures on panoramic radiographs.

OBJECTIVES: To assess whether general-purpose multimodal large language models (LLMs) can localize d...

Mapping the global research landscape on HPV vaccine hesitancy: a machine-learning based bibliometric analysis.

Self-powered in-stent restenosis diagnosis via magnetoelastic stents.

Widely used in millions of atherosclerosis treatments, conventional metal stents, although pervasive...

Artificial intelligence to support ultrasound in the detection of developmental dysplasia of the hip : a scoping review.

AIMS: Ultrasound is a highly sensitive method to detect developmental dysplasia of the hip (DDH). Ho...

Neural network surrogates for musculoskeletal models: An application to implant alignment in total knee arthroplasty.

Total knee arthroplasty (TKA) is an effective treatment for end-stage knee osteoarthritis (OA). Howe...

Deep learning-based object detection of dental implant systems in panoramic and periapical radiographs.

STATEMENT OF PROBLEM: The manual identification of dental implant systems on radiographs is time-con...

Survival After Left Ventricular Assist Device: A Society of Thoracic Surgeons National Intermacs Database Risk Model Assessment.

BACKGROUND: Several Left Ventricular Assist Device (LVAD) risk models exist however, currently there...

Klebsiella oxytoca: an opportunistic bacterial pathogen that poses challenges for treatment and vaccine development.

Klebsiella oxytoca is a clinically significant opportunistic bacterium that contributes to global mo...

Early Risk Factor Prediction in Chronic Kidney Disease Diagnosis Using Feature Selection and Machine Learning Algorithms.

Chronic kidney disease, CKD in short, is a kind of long-term kidney illness in which rapid deteriora...

Automatic classification of kidney stone components based on smartphone microscopy and the GoogLeNet model.

BACKGROUND: To develop an automated classification system for urinary stone composition by integrati...

Postmarketing Safety of Transcranial Magnetic Stimulation: A 10-Year MAUDE Database Analysis of Adverse Events and Technological Advancements.

Background: Transcranial magnetic stimulation (TMS) is an FDA-cleared neuromodulation technique with...

An On-Demand Neuromorphic Vision System Enabled by a Multi-Paradigm Neuromorphic Device and Hierarchical Reconfigurability Designed from Device to System Level.

There are two general approaches in guiding intelligent vision system development: one emphasizes ul...

Personalized Diabetes Treatment Support Using Large Language Models Fine-Tuned on Electronic Health Records: Development and Evaluation Study.

BACKGROUND: Effective diabetes management requires individualized treatment strategies tailored to p...

Chiropto-Neuromorphic Devices Based on a Photocatalytic Dye/Polymer Semiconductor Bulk Heterojunction for Circularly Polarized Light Detection and Memorization.

Neuromorphic computing, which emulates the energy-efficient processing of the human brain, has emerg...

AI-driven 3D virtual surgical planning in total hip arthroplasty: a machine learning approach for precision implant positioning and improved clinical outcomes.

PURPOSE: To explore the clinical significance of the artificial intelligence (AI)-assisted three-dim...

Machine learning model predicts prognosis in SARS-CoV-2-infected autoimmune encephalitis patients.

OBJECTIVE: To assess the neurological prognosis of patients with autoimmune encephalitis (AE) after ...

Simultaneous Segmentation of Geographic Atrophy in Longitudinally Acquired Fundus Autofluorescence Images.

PURPOSE: Accurately measuring geographic atrophy (GA) progression in clinical trials is challenging,...