Devices and Vaccines

Beyond robotics: a systematic review of technology integration in direct anterior approach total hip arthroplasty.

Technology-assisted implant positioning has emerged as a strategy to improve component placement accuracy in total hip arthroplasty (THA). However, the comparative effectiveness of navigation, robotic-assisted, and artificial intelligence-assisted systems remains unclear, particularly for the technically demanding direct anterior approach (DAA).To systematically review and meta-analyze the compara...

Overcoming the opaque side of AI in healthcare: a lifecycle based approach.

INTRODUCTION: Transparency has emerged as a foundational condition for trustworthy Artificial Intelligence (AI) in healthcare. Despite its centrality, practical approaches to systematically operationalize transparency across the entire lifecycle of AI-enabled medical devices remain fragmented and insufficiently structured. This work addresses this gap by proposing a lifecycle-oriented operational ...

Identification and localization of myopic macular neovascularization using deep learning.

PURPOSE: Myopia is rapidly increasing worldwide, with macular neovascularization (MNV) representing a major cause of vision loss. Early diagnosis rema...

A Perovskite Memdiode-Based Neuromorphic in Silico Surrogate Model for Emulating Predictive Coding Failure in Diabetic Neuropathy.

Halide perovskite memdiodes have coupled ionic-electronic dynamics and are promising candidates for artificial synapses in neuromorphic computing. We ...

Perception and accuracy of an AI-based contactless wellness screening system in dental setting; a cross-sectional study.

This study evaluates the reliability and participants' responses to a contactless artificial intelligence (AI) device powered by Remote Photoplethysmo...

Automating Diagnosis of Skin Neglected Tropical Diseases via Patient Metadata through Machine Learning Model with Adaptive Balancing and Dual Cross-Validation: Retrospective Diagnostic Accuracy Study.

BACKGROUND: Skin neglected tropical diseases (NTDs) are the most prevalent diseases worldwide, affecting people living in resource-limited areas with ...

Development and Independent Validation of a Machine Learning-Based Non-Invasive Venous Waveform Analysis for Heart Failure (NIVAHF) Device to Estimate Pulmonary Capillary Wedge Pressure.

BACKGROUND: Hemodynamic-guided management improves outcomes in heart failure (HF), but implantable pulmonary artery pressure monitoring is limited by ...

Systematic assessment of the medical utility of radiology and diagnostic Artificial Intelligence in fracture detection (SAMURAI-fracture): a protocol for a multicentre cluster-randomised controlled trial.

INTRODUCTION: Fracture misdiagnosis is a common diagnostic error in emergency departments (EDs) and minor injury units (MIUs), leading to poor patient...

Binary to Personalized: A Novel Machine Learning Probability Score for Cochlear Implant Candidacy.

OBJECTIVE: To develop and validate a machine learning (ML)-based screening tool for cochlear implant (CI) candidacy that generates personalized probab...

Temporal shifts in public perceptions of influenza and its vaccine before, during, and after COVID-19 in a fragile nation.

BACKGROUND: Since the emergence of the COVID-19 pandemic, co-infection with COVID-19 and influenza has been associated with adverse health and economi...

Functional Mimicry of Neural Sensory Systems Using Nanoporous Graphene-Based Ionic Biomimetic Tactile Devices.

Tactile perception is essential for human interaction with the external world and holds significant potential in robotics, wearable devices, prostheti...

A Flexible Hydrogel-Based Dual-Modal Sensor System for Intelligent Mechanical Gripping and Wearable Gesture Recognition.

The triboelectric nanogenerator (TENG) enables efficient mechanical-to-electrical energy conversion, offering green self-powered solutions for flexibl...

Fully automated deep learning for the identification and classification of dental implant brands from multimodal radiographic images.

OBJECTIVES: Accurate radiographic identification of dental implant systems is essential for effective clinical management; however, manual assessment ...

Two-stage deep learning framework for magnetic resonance imaging-based detection of temporomandibular joint osteoarthritis.

OBJECTIVES: Cone-beam computed tomography (CBCT) is the reference standard for detecting osseous changes in temporomandibular joint osteoarthritis (TM...

Comparative Evaluation of Large Language Models in Answering Patient Questions Following Periodontal and Peri-Implant Examination: An Expert-Based Study.

INTRODUCTION: Large language models (LLMs) are increasingly utilized for medical and dental information retrieval, yet their ability to interpret auth...

Outcomes of Single-View Asymmetries Recalled From Screening Mammography and Exploratory Analysis of AI Detection.

PURPOSE: To evaluate the diagnostic outcomes of single-view asymmetries (SVAs) recalled from screening mammography and to explore the association betw...

A Grok API-Based DICOM File-Attachment Structured Reporting Workflow for Silicone Breast Implant MRI: a Single-Center Proof-of-Concept Agreement Study.

This study aims to evaluate a Grok application programming interface (API)-based file-attachment structured reporting workflow for silicone breast imp...

Utility of artificial intelligence in predicting clinical outcomes of angiographic procedures: a comprehensive scoping review.

Artificial intelligence (AI) is emerging as a transformative tool in cardiovascular imaging, particularly in coronary angiography. With the growing in...

Artificial intelligence and the phantom pneumothorax: Clinical reasoning still matters.

Artificial intelligence (AI) has become increasingly integrated into chest radiograph interpretation, demonstrating excellent diagnostic performance f...

Machine learning-based GA optimization of lumbar intervertebral disc FE models: Comparison with RSM and experimental data.

Finite element (FE) models are widely used to investigate the mechanical behaviour of the human Intervertebral Disc (IVD), but their predictive capabi...