Latest AI and machine learning research in devices and vaccines for healthcare professionals.
Language transforms subjective internal states into observable behavior, enabling investigation of t...
BACKGROUND: The rapid development of COVID-19 vaccines highlighted the transformative potential of a...
COVID-19 has not only changed the way people live but has also altered the way all organizations ope...
Meningococcal meningitis poses a significant public health burden in the meningitis belt region of s...
OBJECTIVES: Traditional methods for medical device post-market surveillance often fail to accurately...
Robotic joint surgery (RJS) has demonstrated high precision and reproducibility in total hip and kne...
INTRODUCTION: Medical device recalls are important to the practice of emergency medicine, as unsafe ...
BACKGROUND: An increasing number of individuals use online Artificial Intelligence (AI) - based chat...
The COVID-19 vaccine development, manufacturing, transportation, and administration proved an extr...
Contagion dynamics in complex networks drive critical phenomena such as epidemic spread and inform...
This study aims to explore the automatic classification method of pneumonia X-ray images based on ...
Imperfect-recall games, in which players may forget previously acquired information, have found ma...
MOTIVATION: T-cell receptors (TCRs) elicit and mediate the adaptive immune response by recognizing a...
This study introduces the Community Sentiment and Engagement Index (CSEI), developed to capture nu...
Advancements in large language models (LLMs) have unlocked remarkable capabilities. While deployin...
In the digital age, device search engines such as Censys and Shodan play crucial roles by scanning...
Model immunization is an emerging direction that aims to mitigate the potential risk of misuse ass...
The MitraClip is the most widely percutaneous treatment for mitral regurgitation, typically perfor...
Considering the difficulty of interpreting generative model output, there is significant current r...
To address the challenges of imbalanced multi-class datasets typically used for rare event detecti...
We solve a Bayesian inverse Reynolds-averaged Navier-Stokes (RANS) problem that assimilates mean f...