Latest AI and machine learning research in devices and vaccines for healthcare professionals.
OBJECTIVES: This study aimed to develop a deep learning (DL) model for the predictive esthetic evalu...
The vaccinia virus (VV) is extensively utilized as a vaccine vector in the treatment of various infe...
OBJECTIVES: Cochlear implant (CI) user functional outcomes are challenging to predict because of the...
This study aims to evaluate the potential enhancement in implant classification performance achieved...
INTRODUCTION: The accuracy of fenestrations in stent grafts for complex aortic aneurysms and dissect...
OBJECTIVE: The study aimed to evaluate the accuracy and safety of a semi-active robotic system for i...
INTRODUCTION: T-cell receptors (TCRs) play a critical role in the immune response by recognizing spe...
OBJECTIVE: This study evaluated ResNet-50 and U-Net models for detecting and segmenting vertical mis...
BACKGROUND: Existing deep learning studies for the automated detection of hip prosthesis failure onl...
Mental health disorders, including non-suicidal self-injury (NSSI) and suicidal behavior, represent ...
BACKGROUND: Ureteral stents, such as double-J stents, have become indispensable in urologic procedur...
PURPOSE: Many individuals with inborn errors of immunity (IEIs) have poor humoral immune (HI) vaccin...
Messenger RNA (mRNA) vaccines offer an adaptable and scalable platform for cancer immunotherapy, req...
To address several challenges, including low efficiency, significant damage, and high costs, associa...
INTRODUCTION: Public health messaging is crucial for promoting beneficial health outcomes, and the l...
Spiking neural networks seek to emulate biological computation through interconnected artificial neu...
BACKGROUND: The choice between cemented and cementless fixation in primary elective total hip arthro...
Sensor-based gesture recognition on mobile devices is critical to human-computer interaction, enabli...
BACKGROUND: Public health campaigns are essential for promoting vaccination behavior, but factors su...
Artificial intelligence (AI) in mammography screening has shown promise in retrospective evaluations...
Neointimal coverage and stent apposition, as assessed from intravascular optical coherence tomograph...