Latest AI and machine learning research in surgery for healthcare professionals.
Clinical decision support systems (CDSS) that are developed based on artificial intelligence and machine learning (AI/ML) approaches carry transformative potentials in improving the way neonatal care is practiced. From the use of the data available from electronic health records to physiological sensors and imaging modalities, CDSS can be used to predict clinical outcomes (such as mortality rate, ...
PURPOSE: This study investigated whether a deep-learning neural network can detect and segment surgical instrumentation and relevant tissue boundaries and landmarks within the retina using imaging acquired from a surgical microscope in real time, with the goal of providing image-guided vitreoretinal (VR) microsurgery.
The use of robotic swarms has become increasingly common in research, industrial, and military domains for tasks such as collective exploration, coord...
Miniature soft robots with elaborate structures and programmable physical properties could conduct micromanipulation with high precision as well as ac...
It is of great significance to explore the characteristic factors of postoperative nursing safety events in patients with otolaryngology surgery and t...
Convolutional neural networks (CNNs) have shown promise in discriminating between invasive and in situ melanomas. The aim of this study was to analyse...
The standard of care for esophageal malignancies has evolved over the years from open transthoracic esophagectomy to a minimally invasive approach due...
BACKGROUND: Most studies comparing robotic and laparoscopic surgery, show little difference in clinical outcomes to justify the expense. We systematic...
The surgical treatment of parastomal hernias is considered complex and is known to be prone to complications. Traditionally, this condition was treate...
An intelligent insole system may monitor the individual's foot pressure and temperature in real-time from the comfort of their home, which can help ca...
PURPOSE: Postoperative recovery of urinary continence has a great impact on quality of life for patients undergoing robot-assisted radical prostatecto...
INTRODUCTION: the use of telepresence grows with the advancement of technology integration into medical practice. Regarding surgery, effective distanc...
BACKGROUND: Evidence on the added value of robotic-assistance in the abdominal phase during esophagectomy is scarce. In 2003, our center implemented t...
PURPOSE: Robot-assisted groin hernia repair is becoming more popular in recent years but may remove operations from surgical trainees. We aimed to inv...
OBJECTIVE: To compare perioperative outcomes following robot-assisted partial nephrectomy (RAPN) in patients with age ≥ 70 years to age < 70 years.
BACKGROUND: Cardiac myxoma is the most common benign cardiac tumor. Its tremendous size and fragile character severely bother the surgeons. Several mi...
Detection of a brain tumor in the early stages is critical for clinical practice and survival rate. Brain tumors arise in multiple shapes, sizes, and ...
Interventional cardiology procedure is an important type of minimally invasive surgery that deals with the catheter-based treatment of cardiovascular ...
Aim of this study was to compare operative, long-term oncological and functional outcomes of laparoscopic (LISR) and robotic (RISR) intersphincteric r...
Because of the many important anatomical structures located closely together at very small distances, mediastinal surgery has been traditionally deman...