Devices and Vaccines

Evaluation of Different Machine Learning Approaches to Predict Antigenic Distance Among Newcastle Disease Virus (NDV) Strains.

Newcastle disease virus (NDV) continues to present a significant challenge for vaccination due to its rapid evolution and the emergence of new variants. Although molecular and sequence data are now quickly and inexpensively produced, genetic distance rarely serves as a good proxy for cross-protection, while experimental studies to assess antigenic differences are time consuming and resource intens...

Optimized classification of dental implants using convolutional neural networks and pre-trained models with preprocessed data.

OBJECTIVE: This study evaluates the performance of various classifiers and pre-trained models for dental implant state classification using preprocessed radiography images with masks.

Traditional Chinese medicine as a promising choice for future control of PEDV.

Porcine epidemic diarrhea virus (PEDV) is the major agent of the recent outbreaks of diarrhea in piglets, which has caused huge economic losses to the...

Optical Synaptic Devices with Multiple Encryption Features Based on SERS-Revealed Charge-Transfer Mechanism.

2D optical synaptic devices with atomic-scale thickness show potential for building highly integrated tunable artificial visual neural networks. Howev...

A vaccine chatbot intervention for parents to improve HPV vaccination uptake among middle school girls: a cluster randomized trial.

Conversational artificial intelligence, in the form of chatbots powered by large language models, offers a new approach to facilitating human-like int...

Enhancing patient-centered information on implant dentistry through prompt engineering: a comparison of four large language models.

BACKGROUND: Patients frequently seek dental information online, and generative pre-trained transformers (GPTs) may be a valuable resource. However, th...

Parametric-MAA: fast, object-centric avoidance of metal artifacts for intraoperative CBCT.

PURPOSE: Metal artifacts remain a persistent issue in intraoperative CBCT imaging. Particularly in orthopedic and trauma applications, these artifacts...

Clinical microbiology and artificial intelligence: Different applications, challenges, and future prospects.

Conventional clinical microbiological techniques are enhanced by the introduction of artificial intelligence (AI). Comprehensive data processing and a...

Identifying mating events of group-housed broiler breeders via bio-inspired deep learning models.

Mating behaviors are crucial for bird welfare, reproduction, and productivity in breeding flocks. During mating, a rooster mounts a hen, which may res...

Advancing plant leaf disease detection integrating machine learning and deep learning.

Conventional techniques for identifying plant leaf diseases can be labor-intensive and complicated. This research uses artificial intelligence (AI) to...

Generative AI and criminology: A threat or a promise? Exploring the potential and pitfalls in the identification of Techniques of Neutralization (ToN).

Generative artificial intelligence (AI) such as GPT-4 refers to systems able to understand and generate new coherent and relevant text by learning fro...

The future outlook for data in orthopedic surgery: A new era of real-time innovation.

The orthopedic field is on the brink of a significant transformation-a shift from retrospective analysis to real-time decision-making fueled by data. ...

Generalizability of FDA-Approved AI-Enabled Medical Devices for Clinical Use.

IMPORTANCE: The primary objective of any newly developed medical device using artificial intelligence (AI) is to ensure its safe and effective use in ...

Machine learning-based risk prediction model for pertussis in children: a multicenter retrospective study.

BACKGROUND: Pertussis is a highly contagious respiratory disease. Even though vaccination has reduced the incidence, cases have resurfaced in certain ...

Integration of the fluorescence based portable device with the AI tools for the real-time monitoring of oral mucosal lesions.

There is a need for non-invasive, sensitive, real-time, and user-friendly optical devices integrated with artificial intelligence (AI) based tools for...

Reducing hepatitis C diagnostic disparities with a fully automated deep learning-enabled microfluidic system for HCV antigen detection.

Viral hepatitis remains a major global health issue, with chronic hepatitis B (HBV) and hepatitis C (HCV) causing approximately 1 million deaths annua...

Evaluation of artificial intelligence robot's knowledge and reliability on dental implants and peri-implant phenotype.

The aim of this study was to evaluate the reliability and quality of information generated by ChatGPT regarding dental implants and peri-implant pheno...

Deep image features sensing with multilevel fusion for complex convolution neural networks & cross domain benchmarks.

Efficient image retrieval from a variety of datasets is crucial in today's digital world. Visual properties are represented using primitive image sign...

Enhancing Relation Extraction for COVID-19 Vaccine Shot-Adverse Event Associations with Large Language Models.

OBJECTIVE: The rapid evolution of the COVID-19 virus has led to the development of different vaccine shots, each designed to combat specific variants ...

Progressive multi-task learning for fine-grained dental implant classification and segmentation in CBCT image.

With the ongoing advancement of digital technology, oral medicine transitions from traditional diagnostics to computer-assisted diagnosis and treatmen...