Devices and Vaccines

Impact of artificial intelligence-based automated segmentation on the accuracy of robotic computer-aided implant surgery: a retrospective study.

OBJECTIVES: This retrospective study aimed to evaluate the impact of artificial intelligence (AI)-based automated segmentation (AS) on the accuracy of robotic computer-aided implant surgery (r-CAIS). METHODS: Patients who underwent r-CAIS were enrolled. Preoperative CBCT images were segmented using either threshold-based SS approach (SS group) or the AI-based AS approach (AS group). Osteotomy prep...

AI-based evaluation of implant abutment screw torque decay: A periapical radiograph pilot study.

BACKGROUND: To develop a deep learning framework for non-invasive detection of implant abutment central screw torque decay using periapical radiographs, addressing the clinical challenge of mechanical screw loosening without invasive intervention. METHODS: A controlled ex vivo dataset (2600 radiographs of Nobel CC RP implants in porcine ribs under torque: 15-35 N·cm) and a clinical dataset (n = 50...

Machine Learning to Predict Implant-Based Breast Reconstruction Failure: A Bootstrap-Validated Elastic Net Model.

BACKGROUND: Implant-based reconstruction failure remains a significant complication following breast reconstruction, with substantial implications for...

Personalized neoantigen cancer vaccines: Why clinical benefit remains inconsistent.

Personalized cancer vaccines have re-emerged as a promising strategy in precision immunotherapy, driven by advances in tumor sequencing, neoantigen id...

Explainable artificial intelligence models for accurate physical activity prediction using wearable device data.

OBJECTIVES: Wearable devices such as smartwatches are increasingly used for physical activity monitoring, but their proprietary algorithms often lack ...

Artificial intelligence at the frontlines: Emerging infectious and parasitic diseases in the digital era.

Emerging infectious diseases are one of the most significant threats to global health, driven by many factors such as zoonotic spillovers, climate cha...

DWPL-GCNMF: Structure-Aware Dynamic Weighted Pseudo-Label Learning for Adverse Drug Reaction Prediction.

Adverse drug reaction (ADR) prediction is typically formulated as drug-ADR association learning on extremely sparse, positive-unlabeled matrices, whic...

Differentiating long QT syndrome genotypes using electrocardiographic geometric parameterization and machine learning approaches.

Long QT Syndrome (LQTS) is an inherited cardiac disorder characterized by dysfunctional cardiac ion channels, which result in prolonged QT intervals o...

Developing an Artificial Intelligence Solution to Autosegment the Edentulous Maxillary Bone for Implant Planning.

Digital dental implant planning using panoramic radiographs and cone beam computed tomography (CBCT) imaging is labor-intensive and prone to error due...

A domain adversarial network for small-sample obstructive sleep apnea detection using a single-lead piezoelectric sensor.

OBJECTIVE: In recent years, increasing attention to sleep health has accelerated development of wearable devices for home monitoring. Two critical cha...

Applying machine learning and natural language processing to patient safety event reports: Identifying patterns of cardiovascular diagnostic errors.

OBJECTIVE: To explore the utility of natural language processing (NLP) and machine learning (ML) techniques to identify unsafe conditions leading to c...

Robotic-assisted biventricular durable assist device implantation: The first in human experience.

We report a novel approach of robotic-assisted, minimally invasive biventricular assist device (BiVAD) implantation using HeartMate 3 in a 61-year-old...

Comparative evaluation of machine learning models for predicting COVID-19 vaccine uptake in U.S. adults.

Occlusion-activated autonomous piezoelectric implants for adaptive prevention of peri-implantitis.

More than one-third of the global population suffers from dental defects, with osseointegrated implants being the gold-standard intervention; yet, the...

Establishing generalizability of wearable-enabled blood volume decompensation status estimation algorithms using transfer learning.

Timely assessment of blood volume decompensation status (BVDS) is essential for effective trauma intervention, especially in prehospital and resource-...

A multicenter, video-EEG-based validation of a multimodal wearable device for focal seizure detection in adults: The SeizeIT2 study.

OBJECTIVE: Currently available wearable devices for detecting focal seizures primarily target major motor seizures or involve semi-invasive subscalp i...

Assessing predictive accuracy of 2D digital templating in fluoroscopy-guided direct anterior approach total hip arthroplasty.

INTRODUCTION: Preoperative 2D digital templating aids surgical planning in total hip arthroplasty (THA). We evaluated template accuracy by comparing p...

Functional Reclassification of Lipid-Based Drug Delivery Systems and Advances in Formulation Strategies and Manufacturing Challenges.

Lipid-based drug delivery systems have progressed from a simple empirical solubilization tool towards a highly precise engineered platform, capable of...

Deep learning-enabled scaffolding of spatial arrays of PfCSP epitopes.

Malaria is a leading cause of disease in developing countries. The licensed malaria vaccine RTS,S/AS01 confers partial protection in part due to the e...

Feasibility study of ultrasound-guided, power-assisted needle insertion for hemodialysis cannulation using an innovative, handheld device.

BACKGROUND: Vascular access (VA) for hemodialysis is achieved through arteriovenous fistulas (AVF), arteriovenous grafts (AVG), or central venous acce...