Latest AI and machine learning research in devices and vaccines for healthcare professionals.
BACKGROUND: Revision total hip arthroplasty (THA) requires preoperatively identifying in situ implan...
The spread of tuberculosis (TB), especially multidrug-resistant TB and extensively drug-resistant TB...
AIMS: Robot-assisted total hip arthroplasty (rTHA) boasts superior accuracy in implant placement, bu...
STATEMENT OF PROBLEM: Determining the brand and angle of an implant clinically or radiographically c...
STATEMENT OF PROBLEM: Dental implant systems can be identified using image classification deep learn...
OBJECTIVES: Evaluation of in-stent restenosis (ISR), especially for small stents, remains challengin...
BACKGROUND: Pathological maxillary sinus would affect implant treatment and even result in failure o...
PURPOSE: This article aims to construct a new method to evaluate radiographic image identification r...
Electromyography (EMG) pattern recognition is an important technology for prosthesis control and hum...
The foreign body response impedes the function and longevity of implantable drug delivery devices. A...
This study presents a portable device that ensures precise contact force between a subject and a pro...
Every year, the Food and Drug Administration (FDA) clears approximately 3,000 medical devices for ma...
The 21st century is characterized by accelerated technological innovation, resulting in digitization...
BACKGROUND: Accurate intravascular ultrasound (IVUS) measurements are important in IVUS-guided percu...
Upstream sample preparation remains the bottleneck for point-of-need nucleic acid testing due to its...
BACKGROUND/PURPOSE: Proper implant-ridge classification is crucial for developing a dental implant t...
The advent of robotic surgical systems had a significant impact on every surgical area, especially u...
OBJECTIVE: The applications of artificial intelligence (AI) are increasing in restorative dentistry;...
With the increased availability of magnetic resonance imaging (MRI) and a progressive rise in the fr...
OBJECTIVES: This study aims to compare the surgical efficiency (preparation and operation time) and ...
OBJECTIVES: To train and validate a cloud-based convolutional neural network (CNN) model for automat...