Latest AI and machine learning research in fda general for healthcare professionals.
Bladder cancer is the 10th most common cancer worldwide. Due to the lack of understanding of the onc...
The discussion on artificial intelligence (AI) solutions in diagnostic imaging has matured in recent...
INTRODUCTION: The field of RNA-targeted small molecules is rapidly evolving, owing to the advances i...
Traditional drug design requires a great amount of research time and developmental expense. Booming ...
The Hugo RAS™ is a newly launched robotic system for clinical use. This article provides the initia...
Robotic surgical training is undergoing a period of transition now that new robotic operating platfo...
INTRODUCTION: The use of biologic adjuvants (orthobiologics) is becoming commonplace in orthopaedic ...
AIM: To examine the current landscape of US Food and Drug Administration (FDA)-approved artificial i...
Nowadays, more frequently, it is necessary to perform underwater operations such as surveying an are...
Near-infrared (NIR) spectroscopy with deep penetration can characterize the composition of biologica...
In this study, we implemented a system to classify lung opacities from frontal chest x-ray radiograp...
Printed circuit board (PCB) defect detection plays a crucial role in PCB production, and the popular...
This article studies an event-triggered asynchronous output regulation problem (EAORP) for networked...
OBJECTIVES: Since the 1980s, robotic arms have been transferred from industrial applications to orth...
To reliably realize the functions of autonomous navigation and cruise of logistics robots in a compl...
Despite extensive efforts to generate and analyze reference genomes, genetic models to predict gene ...
In considering the need of people all over the world for high-quality food, there has been a recent ...
Wheat, one of the most important food crops in the world, is usually harvested mechanically by combi...
The development of computer-aided detection (CAD) using artificial intelligence (AI) and machine lea...
The number of patients with heart failure and related deaths is rapidly increasing worldwide, making...
Artificial intelligence (AI) is becoming more widespread within radiology. Capabilities that AI algo...