Devices and Vaccines

Anatomical deformation prediction using artificial intelligence for fusion imaging during aortic endovascular procedures.

Placement of an aortic stent graft induces anatomical deformations, particularly at the iliac level, because of the introduction of rigid devices. Anticipating these changes may improve the accuracy of fusion guidance during endovascular procedures. In this prospective single-center study, a deep learning-based sizing software was used to generate a deformation-adjusted three-dimensional fusion ma...

Energy- and Area-Efficient Ionic-Switch Activation Neuron for Monolithic 3D Neural Network Architectures.

To overcome the bottleneck inherent in the von Neumann architecture and advance hardware-oriented neural network design, this study conceptually proposes a monolithic three-dimensional, vertically integrated neural network architecture that supports vertical multiply-accumulate operations and horizontal interlayer data transmission. As a core component of this proposed structure, we experimentally...

Risk and Protective Factors Associated With HIV-Related Mortality in Children Receiving Antiretroviral Therapy: A Model-Based Meta-Regression.

IMPORTANCE: Mortality among children and young adolescents receiving antiretroviral therapy (ART) remains substantially higher in resource-limited set...

The absence of full lifecycle risk management for AI-based medical devices in radiology.

This study represents the systematic examination of full lifecycle management for radiology artificial intelligence medical (AI) devices approved by t...

Development and validation of a real-time AI model for differentiating benign and malignant gastric ulcers : a multicenter retrospective study.

AIM: To develop and validate a deep learning-based AI system for the dynamic, real-time differentiation of benign and malignant gastric ulcers during ...

FairCareNLP: An AI-driven patient review analyzer for healthcare.

OBJECTIVE: To develop and evaluate an automatic patient review analyzer that applies advanced Natural Language Processing (NLP) and machine learning m...

An integrated microneedle device for skin interstitial fluid multiplexed detection and deep learning-based analysis of acute myocardial infarction biomarkers.

Acute myocardial infarction (AMI) remains difficult to diagnose rapidly outside hospital settings because current evaluation still relies mainly on el...

Detection of benign prostatic hyperplasia using RGB prostate images and deep learning.

This study investigates the identification of Benign Prostatic Hyperplasia (BPH) through a deep learning-based analysis of RGB prostate histopathologi...

OCT biomarkers in patients with diabetic macular edema treated with dexamethasone implant.

Beyond conventional OCT-based morphological classifications of diabetic macular edema (DME), an expanding range of OCT-derived biomarkers has been ide...

Self-Supervised Contrastive Pre-Training for EEG-Based Recognition via Cross Device Representation Consistency.

Electroencephalography (EEG) has emerged as a powerful tool for modeling human brain states. However, the widespread adoption of EEG-based recognition...

IN-HUMAN FEASIBILITY AND SAFETY OF SUBRETINAL DRUG INJECTION THROUGH ATTACHED RETINA USING A ROBOTIC COMANIPULATION SYSTEM.

PURPOSE: To evaluate feasibility and safety of robot-assisted subretinal injections through attached retina using the comanipulated Mynutia system in ...

Geometric Transformation Algorithm for Acetabular Cup Orientation: Converting 2D Radiographic Projections to 3D Spatial Positioning.

BACKGROUND/AIM: Hip replacement is one of the most common and successful surgeries of our time. However, with increasing numbers of total hip arthropl...

Unsupervised Machine Learning Drives Dynamic Alignment Classification In Navigated Total Knee Arthroplasty.

BACKGROUND: Current classifications used for total knee arthroplasty (TKA) are static and fail to capture the dynamic behavior of the limb during gait...

Automated approaches to identifying clinical trials based on title and abstract in the field of physiotherapy: a comparative analysis.

OBJECTIVE: To compare accuracy, precision, recall, F1 and time spent using commercial tools to identify physiotherapy trials based on title and abstra...

Computational and machine learning approach for nanoparticle-enhanced bio-heat transport with coupled effects of interparticle spacing and nanoparticles radius.

Targeted delivery of drugs and hyperthermia in cardiovascular disease demand the accurate delivery of nanoparticles in complex arterial geometries. Th...

Evaluation of AI-enhanced FTIR spectroscopy for species and biovar typing of intracellular pathogenic Brucella spp.

BACKGROUND: Rapid and accurate identification of intracellular pathogenic Brucella species and biovars is essential for effective public health survei...

Explainable prediction of MDR/RR-TB in tuberculosis-diabetes mellitus multimorbidity: a machine learning model developed and validated in a dual-center study.

BACKGROUND: Tuberculosis-diabetes mellitus (TB-DM) multimorbidity significantly increases the risk of multidrug-resistant/rifampicin-resistant tubercu...

Revolutionizing nanosatellites' data integrity with SEEnet: A real-time ensemble learning approach for Single-Event Effect (SEE) prediction.

As nanosatellites make access to space more affordable and widespread, protecting onboard data from radiation-related damage has become a major challe...

Data-driven design of deterministic lateral displacement microfluidic devices for CTC separation.

Circulating tumor cells (CTCs) are established biomarkers for cancer diagnosis and therapeutic monitoring, yet their extreme rarity in peripheral bloo...

Performance boost in novel CBAI/SNMO double perovskite solar cells via GO-induced back surface field optimization.

This investigation presents a comprehensive SCAPS-1D and machine-learning-assisted investigation of four environmentally benign double-perovskite sola...