Latest AI and machine learning research in surgery for healthcare professionals.
BACKGROUND: Unplanned and potentially avoidable readmission within 30Â days post discharge is a major...
Micro/nano-scale robotic devices are emerging as a cutting-edge approach for precision intravascular...
PURPOSE: Meralgia paraesthetica (MP) is a rare neuropathy of the lateral femoral cutaneous nerve (LF...
BACKGROUND: Electronic medical records (EMRs) have undergone significant changes due to advancements...
This review comprehensively analyzes the modern literature on including visual aids in diverse surgi...
Upper limb training dose after stroke is usually quantified by time and repetitions. This study anal...
BACKGROUND: This study aimed to evaluate the combined effects of robotic training (RT) and botulinum...
Maxillary Sinus Lifting is a crucial surgical procedure for addressing insufficient alveolar bone ma...
BACKGROUND: This study was conducted to assess the association between lifestyle risk factors (LRF) ...
This study introduces an integrated lower limb robotic orthosis with near-field electrospinning (NFE...
Robotic-assisted radical prostatectomy (RARP) is the most commonly performed robotic procedure in ur...
BACKGROUND: Despite technical advancements, minimally invasive liver surgery (MILS) for hepatocellul...
BACKGROUND: Laparoscopic repeat liver resection (LRLR) is still a challenging technique and requires...
BACKGROUND AND OBJECTIVE: Automated surgical skill assessment using kinematic and video data (hard d...
Artificial intelligence has evolved significantly since its inception, becoming a powerful tool in m...
Individuals with autism spectrum disorder (ASD) experience difficulties in both verbal and nonverbal...
Metro drivers are more likely to trigger accidents if they suffer from cognitive distractions during...
BACKGROUND: Early complications increase in-hospital stay and mortality after intestinal obstruction...
BACKGROUND: Duration of surgery (DOS) varies substantially for patients with hip and knee arthroplas...
Optical coherence tomography (OCT) is a non-invasive imaging modality essential for macular hole (MH...
PURPOSE: To report a deep learning neural network on anterior segment optical coherence tomography (...