Devices and Vaccines

Machine-Learning-Enhanced Printed Vertical Magnetoresistive Sensors for Transparent, Flexible, Multimodal Interactive Magnetoelectronics.

To meet the increasingly stringent demands of next-generation electronic systems, magnetoresistive sensors are required to simultaneously deliver environmental compatibility, advanced functionality, and enhanced intelligence. Here, we demonstrate a synergistic strategy spanning device, algorithm, and system levels to address these challenges in a unified manner. By rationally designing functional ...

Machine Learning Aided Kinematic Profiling of Reaching Movements Separates Spinocerebellar Ataxia type 12 and Essential Tremor.

Upper limb postural tremor is common in both Spinocerebellar Ataxia type 12 (SCA12) and Essential Tremor (ET). In the early stages, their clinical presentation can be similar, leading to potential misdiagnosis. This study aimed to develop and evaluate a low-cost device and methods to quantify 2D reaching kinematics objectively, with the goal of improving differentiation between ET and SCA12 using ...

SinusNet+: Deep Condition-Label-Free Segmentation of Maxillary Sinus Conditions in CBCT images.

BACKGROUND: Segmentation of maxillary sinus conditions (MSC) in cone-beam computed tomography (CBCT) images may support preoperative assessment in the...

Development and prospective evaluation of a real-time deep learning model for inpatient hypoglycemia prediction.

Inpatient hypoglycemia is associated with increased morbidity, mortality, length of stay, and healthcare costs, yet current management remains reactiv...

Mathematic and Computational Models for Osseointegration in Titanium Dental Implants: A Systematic Review of Current Approaches and Future Directions.

PURPOSE: To identify, compare, and critically evaluate the main mathematic and computational models used to study osseointegration in titanium (Ti) de...

Performance evaluation of deep learning based YOLOv5 and YOLOv8 models for real time breast cancer detection in mammographic images.

Breast cancer detection remains a significant challenge in medical diagnostics. Traditional diagnostic methods are time-consuming, unable to detect co...

Enhanced Diagnosis of Generalized Pustular Psoriasis With the Legit.Health Device as a Diagnosis Support Tool: Multireader Multicase Study.

BACKGROUND: Generalized pustular psoriasis (GPP) is a rare, chronic, systemic inflammatory disease with an unpredictable and heterogeneous clinical co...

Predicting transition to psychiatric disorders in clinical high-risk for psychosis subjects using machine learning and facial features.

BACKGROUND: Clinical-high-risk for psychosis (CHR) status is increasingly viewed as a transdiagnostic risk state, but scalable markers of adverse outc...

Large Language Models and Retrieval-Augmented Platforms for Dental Implant Complications: A Blinded, Expert-Rated Benchmarking Study.

OBJECTIVES: To compare expert-rated diagnostic accuracy, patient safety, completeness of management, and freedom from detectable hallucinations across...

Deep Learning-Based Metal Artifact Reduction in Cardiac Computed Tomography: A Preliminary Study Enabling Radiomic Analysis in Patients with Implantable Defibrillators.

Idiopathic ventricular fibrillation (IVF) affects 5-10% of out-of-hospital cardiac arrest survivors, requiring implantable cardioverter-defibrillators...

Artificial intelligence in dental implant identifications, planning accuracies, and success predictions: An umbrella review.

STATEMENT OF PROBLEM: Artificial intelligence (AI) applications and related secondary data in implant dentistry have been expanding. However, reviews ...

Comparative evaluation and selection of optimal QSAR-based machine learning model for liver toxicity prediction.

Drug induced liver toxicity remains the most common cause of acute liver failure. Conventional toxicity detection relies on resource-intensive in vivo...

Comparing supervised machine learning and large language models in title-abstract screening.

BACKGROUND: Systematic reviews require reviewers to decide on the eligibility of large numbers of articles derived from database searches. To accelera...

Advancing One Health genomics in Africa: opportunities and challenges for outbreak and antimicrobial resistance control.

SUMMARYAfrica's ongoing struggles with emerging epidemics and antimicrobial resistance (AMR) underscore the urgency of integrating pathogen genomics a...

Individual identification of dairy cows with occluded camera views using open-set contrastive learning model.

This study aims to perform individual identification of dairy cows in freestall barns using computer vision techniques under challenging visual condit...

Comparative evaluation of machine-learning algorithms for early detection of metritis in dairy cows.

Metritis is a common postpartum uterine disease in dairy cows that impairs fertility, reduces milk yield, increases culling risk, and causes substanti...

Low Rates of Fibrosis in Eyes Treated with the Port Delivery Platform with Ranibizumab or with Monthly Ranibizumab in the Archway Trial.

PURPOSE: To evaluate the proportion of eyes with fibrosis in the Archway neovascular age-related macular degeneration trial, which compared efficacy a...

Code-free automated machine learning for OCT-based classification of vitreoretinal interface diseases.

BACKGROUND: Differentiation of vitreoretinal interface disorders on optical coherence tomography (OCT) relies on expert interpretation and can be chal...

Deep learning-based biliary stent classification and transfer learning adaptation to an additional stent type.

OBJECTIVE: Accurate classification of previously deployed biliary stents is crucial for planning reintervention, yet conventional image interpretation...

Research on detection and defense methods of backdoor attacks on quantum neural networks.

Security research in quantum neural networks (QNNs) is an emerging field that aims to utilize the principles of quantum mechanics to protect the secur...