Latest AI and machine learning research in clinical trials for healthcare professionals.
OBJECTIVES: To aid doctors in selecting the optimal preoperative implantable collamer lens (ICL) siz...
Robot-assisted (RA) technology has been shown to be a safe aid in spine surgery, this meta-analysis ...
Comprehensive action patterns of programmed cell death (PCD) in bladder cancer (BLCA) have not yet b...
This study was undertaken to observe the effect of body mass index (BMI) on perioperative outcomes a...
Despite the surge in artificial intelligence (AI) development for health care applications, particul...
AIMS: Monitoring drug safety in real-world settings is the primary aim of pharmacovigilance. Frequen...
BACKGROUND: Although the da Vinci⢠Surgical System is the most predominantly used surgical robot wor...
BACKGROUND & AIMS: Artificial intelligence (AI)-based optical diagnosis systems (CADx) have been dev...
PURPOSE: User-friendly robotic assistance and image-guided tools have been developed in the past dec...
OBJECTIVE: This study aimed to assess the impact of combining transcranial direct current stimulatio...
Electronic health records (EHRs) store an extensive array of patient information, encompassing medic...
BACKGROUND: Robotic spinal surgery may result in better pedicle screw placement accuracy, and reduct...
INTRODUCTION: Both artificial intelligence (AI) and distal attachment devices have been shown to imp...
In the face of today's ever-evolving global health landscape and ambient assisted living (AAL), mark...
BACKGROUND: Accurate risk stratification is critical to guide management decisions in localized pros...
BACKGROUND: Vague spinal anatomical landmarks in patients with ankylosing spondylitis (AS) make intr...
OBJECTIVE: This study aimed to examine the impact of robotic hand rehabilitation on hand function an...
BACKGROUND: Sentiment analysis is a significant yet difficult task in natural language processing. T...