Devices and Vaccines

Examining Artificial Intelligence Chatbots' Responses in Providing Human Papillomavirus Vaccine Information for Young Adults: Qualitative Content Analysis.

BACKGROUND: The growing use of artificial intelligence (AI) chatbots for seeking health-related information is concerning, as they were not originally developed for delivering medical guidance. The quality of AI chatbots' responses relies heavily on their training data and is often limited in medical contexts due to their lack of specific training data in medical literature. Findings on the qualit...

Implantable bladder sensors for real-time urodynamics: A systematic review of preclinical and clinical evidence in neuro-urology.

BACKGROUND: Catheter-based urodynamic studies remain the standard for diagnosing lower urinary tract dysfunction, but are limited by discomfort, infection risk, and restricted monitoring duration. Emerging implantable bladder sensors offer the potential for real-time wireless pressure monitoring without the need for catheters, with promising applications in neurology. This study was aimed to syste...

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 mellitus (T1DM). The multifactorial etiology of T1D...

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

Many non-model rodent species are inaccessible to genetic engineering due to our limited understanding of their reproductive biology. Here, we present...

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

Precise spatiotemporal manipulation of particles in complex microfluidic channel networks (MCNs) underlies numerous advanced applications, but remains...

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)-driven point cloud completion models-PF-Net, PCN, an...

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 dental implant fixtures on panoramic radiographs an...

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, only provide mechanical support to narrowed arte...

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). However, the cost of expert sonographers performing ...

Clinical integration of artificial intelligence and mixed reality-based dynamic navigation for implant placement in the anterior maxilla.

OBJECTIVE: To report the first clinical application of an integrated workflow combining artificial intelligence (AI) with mixed reality-based dynamic ...

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). However, dissatisfaction persists in one in five patie...

Agreement between digitally predicted and clinically verified occlusal contacts in computer-aided design and computer-aided manufacture (CAD-CAM) occlusal devices: A cross-sectional study.

STATEMENT OF PROBLEM: The growing adoption of digital workflows and artificial intelligence (AI)-assisted design has revolutionized occlusal device fa...

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-consuming, operator-dependent, and prone to diagnosti...

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 is only one LVAD available, therefore we assessed...

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 morbidity and mortality. Despite its clinical releva...

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 deterioration of kidney function is observed over a period ...

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 integrating smartphone-based microscopic imaging (TIPSCOPE)...

NTDscope: A multi-contrast portable microscope for disease diagnosis.

Accurate diagnostics are essential for disease control and elimination efforts. However, access to diagnostics for neglected tropical diseases (NTDs) ...

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 expanding clinical applications beyond major depr...