Devices and Vaccines

Establishment and validation of a machine learning model to stratify malnutrition risk in hospitalized older patients with chronic heart failure.

BACKGROUND AND OBJECTIVES: Malnutrition among older hospitalized adults with chronic heart failure (...

Identification of Reproducible CT-Image Based Radiomic Features That Predict Shoulder Arthroplasty Outcomes.

The goal of this radiomic analysis is to quantify the sensitivity of radiomic features on computed t...

A Multimodal Multitask Artificial Intelligence Model for Orthokeratology Contact Lens Fitting: An Integrated Framework to Enhance Lens Centration and Myopia Control Effect.

PURPOSE: To develop a multimodal, multitask artificial intelligence (AI) model to classify postfitti...

Machine learning-driven identification of serotype-independent pneumococcal vaccine candidates using samples from human infection challenge studies.

Identifying conserved, immunogenic proteins that confer protection against Streptococcus pneumoniae ...

IL2Pepscan: a machine learning framework for predicting IL-2 inducing peptides and their identification across global viral proteomes.

Interleukin-2 (IL-2) is a pivotal cytokine involved in regulating immune responses, particularly in ...

Highly efficient and durable Th1-biased protective immunity from a novel mRNA vaccine against RSV via AI-assisted antigen screening.

Respiratory syncytial virus (RSV) is a leading cause of severe respiratory illness, imposing a signi...

Comparison of the accuracy of Robotic arm and Dynamic Navigation in the placement of mandibular dental implants: An in-vitro study.

OBJECTIVE: To compare the spatial accuracy between Robotic Computer-Assisted implant Surgery (R-CAIS...

Letter to the Editor regarding, "Dental implant planning using artificial intelligence: A systematic review and meta-analysis".

Deep Learning-Based Model for Breast Implant Classification in Ultrasonography: A Multi-Institutional Model Development and Validation Study.

BACKGROUND: The increasing prevalence of implant-based breast surgeries highlights a critical gap in...

Nanoengineered Surface-Enhanced Raman Spectroscopy Substrates for Probing Tissue-Material Interactions.

Innovation in biomaterials has brought both breakthroughs and challenges in medicine, as implant mat...

Predicting postoperative delirium after lung cancer resection: the utility of synthetic data and LIME algorithm for model interpretation.

To construct an efficient predictive model for post-lung cancer resection delirium (POD) using artif...

SENTINEL-DL: a forensic framework for device attribution using motion sensor data.

This paper introduces SENTINEL-DL-a novel forensic framework which leverages accelerometer sensory d...

Trends and Scientific Evolution in Endovascular Aneurysm Repair (EVAR) Research: A Comprehensive Bibliometric Study Using VOSviewer.

BACKGROUND: Endovascular aneurysm repair (EVAR) has become a standard treatment for abdominal aortic...

Biatrial cardioneuroablation guided by robotic magnetic navigation and artificial intelligence-based mapping in vagal bradyarrhythmias: A controlled observational study.

PURPOSE: Reflex bradyarrhythmias and syncope related to excessive vagal tone may be refractory to co...

A Monolithic Ferroelectric-Ionic Duality for Stochastic-Neuromorphic Core Integration.

Learning under uncertainty has become increasingly critical in data-intensive artificial intelligenc...

Contemporary implantable cardiac device trials for sudden cardiac death and future guidelines: how can we shape the future?

INTRODUCTION: Sudden cardiac death (SCD) remains a major cause of mortality despite substantial prog...

[Telemedicine in heart failure : Evidence, benefits and future perspectives].

In recent years telemonitoring for heart failure (TmHi) has transitioned from project-based pilot ap...

Clinical evaluation and bone loss prediction of titanium-zirconium implants: A retrospective study of 1-5-year follow-up.

OBJECTIVES: To evaluate the clinical and radiographic outcomes of titanium-zirconium implants, ident...

The effect of AI-assisted bedside echocardiography on inpatient care: a prospective trial.

AIMS: Focused cardiac ultrasound (FoCUS) can yield valuable information for decision-making. However...

Diagnostic Accuracy of Deep Learning Models in Detecting Peri-Implant Marginal Bone Loss: A Systematic Review and Meta-Analysis.

BACKGROUND: Peri-implantitis is a common implant complication requiring early detection to prevent b...

Machine Learning Prediction of Pharmacogenetic Testing Uptake Among Opioid-Prescribed Patients Using Electronic Health Records: Retrospective Cohort Study.

BACKGROUND: Opioids are a widely prescribed class of medication for pain management. However, they h...