Latest AI and machine learning research in surgery for healthcare professionals.
The landscape of surgical training is rapidly evolving with the advent of artificial intelligence (AI) and its integration into education and simulation. This manuscript aims to explore the potential applications and benefits of AI-assisted surgical training, particularly the use of large language models (LLMs), in enhancing communication, personalizing feedback, and promoting skill development. W...
The 21st century is characterized by accelerated technological innovation, resulting in digitization of most areas of medicine and dentistry. Dental implant surgical planning has evolved from using analog static guides to computer generated guides and dynamic surgical guidance. Dynamic surgical placement has started gaining ground with the use of navigated surgery and robot assisted implant placem...
The accuracy of cephalometric landmark identification for malocclusion classification is essential for diagnosis and treatment planning. Identifying t...
PURPOSE: To achieve effective robot-assisted laparoscopic prostatectomy, the integration of transrectal ultrasound (TRUS) imaging system which is the ...
The Versius Surgical System is a next generation soft-tissue robot with instrument and endoscope arms split into individual modules. Despite its simil...
The operating room nowadays is a data-rich environment to which Artificial Intelligence (AI) can respond. Current AI applications mainly focus on supp...
The use of robotic surgery (RS) in urology has grown exponentially in the last decade, but RS training has lagged behind. The launch of new robotic pl...
BACKGROUND: This study introduces THA-Net, a deep learning inpainting algorithm for simulating postoperative total hip arthroplasty (THA) radiographs ...
This study aimed to investigate the efficacy and safety of robot-assisted radical cystectomy (RARC) in older patients with bladder cancer (BCa). We r...
INTRODUCTION: Robotic-assisted surgery has been a part of surgical procedures for more than two decades. Recently new robotic platforms with a differe...
INTRODUCTION: Despite considerable interest in robotic surgery, successful incorporation of robotics into transplant programs has been challenging. La...
BACKGROUND: Over the past 20 years, surgeons involved in soft tissue minimally invasive surgery have experienced the pros and cons of both conventiona...
BACKGROUND: To develop a deep learning (DL) model based on preoperative optical coherence tomography (OCT) training to automatically predict the 6-mon...
Bone drilling is a common procedure in orthopedic surgery and is frequently attempted using robot-assisted techniques. However, drilling on rigid, sli...
Aortic stenosis (AS) is the most prevalent heart valve disease in western countries that poses a significant public health challenge due to the lack o...
Robot-assisted partial nephrectomy (RAPN) is the standard of care for small, localized kidney tumors. This surgery is conducted within a short hospita...
BACKGROUND: The application of artificial intelligence patient-controlled analgesia (AI-PCA) facilitates the remote monitoring of analgesia management...
BACKGROUND: Congenital renal anomalies are rare but may be associated with obstruction of the ureteropelvic junction. Given the rarity of simultaneous...
Supraglottic laryngectomy has evolved from open to transoral endoscopic approaches with advancements in surgical techniques and instruments such as la...