Devices and Vaccines

Deep learning pipeline for trapezium segmentation in thumb radiographs.

OBJECTIVE: Accurate identification of the trapezium is crucial for trapeziometacarpal (TMC) arthroplasty but remains challenging on standard radiographs due to overlapping anatomy. Artificial intelligence has shown promise in musculoskeletal imaging, yet its application to small joints is limited. MATERIALS AND METHODS: We retrospectively analyzed 624 thumb radiographs, of which 519 met the inclus...

Cardiorespiratory Markers of Type 2 Diabetes: Machine Learning-Based Analysis.

BACKGROUND: The global prevalence of type 2 diabetes mellitus (T2DM) poses significant challenges due to its association with increased cardiovascular risk and complications like cardiovascular autonomic neuropathy. Measures derived from heart rate variability (HRV) and cardiorespiratory interactions quantified through frequency response function (FRF) and impulse response (IR) metrics reflect dif...

A hardware-adaptive learning algorithm for superlinear-capacity associative memory on memristor crossbars.

The human brain recalls complete patterns from partial cues via associative memory, but Hopfield neural networks emulating this process are inefficien...

Design and Preliminary Evaluation of a Smart Orthotic Videogame Controller Dedicated to Children.

This paper describes the development, fabrication and testing of Playcuff, a wearable device designed to act as a videogame controller for children wi...

The Evaluation of Transformer Models for the Detection of Adverse Drug Events: A Benchmark Study Using Dutch Free-Text Documents of Hospitalized Patients.

INTRODUCTION: Adverse drug events (ADEs) are a leading cause of preventable patient harm in hospitals. Because they are often recorded only in clinica...

Artificial intelligence facilitated smile design for the rehabilitation of a fully maxillary edentulous patient with a complete arch implant-supported prosthesis: A dental technique.

This dental technique describes the use of an artificial intelligence (AI)-facilitated digital workflow in the rehabilitation of an edentulous maxilla...

Feasibility of the Belun sleep platform for obstructive sleep apnea diagnosis: A pilot case series from India.

Polysomnography (PSG) is the gold standard for diagnosing obstructive sleep apnea (OSA), but it poses significant barriers in resource-limited setting...

Risk Modeling and Association Pathways Integrating Psychosocial Factors for Drug Misuse in Adolescents and Young Adults: A Machine Learning Approach.

INTRODUCTION: Early identification for preventing drug misuse among adolescents and young adults (AYAs) is more cost-effective than drug treatment. Ho...

Artificial Intelligence Impact on Radiologist Performance in Breast Cancer Screening with Digital Breast Tomosynthesis.

PURPOSE: Assess impact of artificial intelligence (AI) on radiologists' detection of cancer on digital breast tomosynthesis (DBT) exams based on densi...

Identifying microbial protease allergens through protein language model-guided homology.

Emerging research links the gut, skin, and oral microbiomes to allergies, with serine proteases (SPs) identified as potential allergens. This study le...

Expanding access to cerebrovascular imaging with routine MRI for pre-surgical assessment of intracranial tumor patients: an AI model development and multi-center validation study.

BACKGROUND: Angiography is the gold standard for assessing the relationship between cerebral arteries and intracranial tumors, but its use is limited ...

The AI Act and the MDR post-market requirements for semiautonomous AI SaMD: a radiology case study in prostate cancer.

PURPOSE: To clarify overlapping post-market obligations under the EU Artificial Intelligence Act (AIA) and EU Medical Device Regulation (MDR) for high...

Prediction of COVID-19 hospitalisation, ICU admission or death following ChAdOx1 vaccination using artificial intelligence: A clinical predictive model from the English RAVEN study.

OBJECTIVES: This study identifies predictors of severe COVID-19 following completion of two-dose primary series of the AZD1222 COVID-19 vaccine, emplo...

Active surveillance methods to identify adverse events of special interest (AESIs) following vaccination against pandemic diseases: A scoping review.

INTRODUCTION: Active post-vaccination surveillance is vital for ensuring vaccine safety, particularly in monitoring Adverse Events of Special Interest...

Spatial and single-cell transcriptomic atlas of human suprachiasmatic nucleus.

The suprachiasmatic nucleus (SCN) is considered the master pacemaker of the circadian clock in mammals, but our current knowledge of the SCN is mostly...

Bacterial Outer Membrane Vesicles in Potentiating Cancer Vaccines: Progress and Prospects.

Cancer immunotherapy is increasingly moving toward personalized, precision-based strategies, with cancer vaccines emerging as a promising approach to ...

Detection of disturbances and cyber-attacks in smart grids using explainable machine learning.

Modern power systems are subjected to natural disruptions and cyberattacks, both of which have the potential to have catastrophic consequences on the ...

A machine learning model for frailty based on wearable device measurements.

BACKGROUND: Frailty is an important factor in human aging associated with a broad range of adverse outcomes. Frailty metrics are time intensive to col...

Perception of vaccine myths in daily clinical practice: A survey of healthcare professionals.

Introduction. Misinformation is a barrier to immunization. The objective was to describe and categorize vaccine-related myths reported by healthcare p...

A Scoping Review on Synthetic Datasets: Opportunities, Challenges and Future Directions for Endodontics.

BACKGROUND: Recent advances in Artificial Intelligence (AI) and machine learning algorithms have transformed diagnostic tasks in dentistry and endodon...