Latest AI and machine learning research in surgery for healthcare professionals.
OBJECTIVE: The aim of this study was to evaluate an automatic, deep learning based method (Augmented Radiology for Vascular Aneurysm [ARVA]), to detect and assess maximum aortic diameter, providing cross sectional outer to outer aortic wall measurements.
It remains difficult to predict when which patients with abdominal aortic aneurysm (AAA) will require surgery. The aim was to study the accuracy of geometric and biomechanical analysis of small AAAs to predict reaching the threshold for surgery, diameter growth rate and rupture or symptomatic aneurysm. 189 patients with AAAs of diameters 40-50Â mm were included, 161 had undergone two CTAs. Geometri...
Predicting postoperative survival of lung cancer patients (LCPs) is an important problem of medical decision-making. However, the imbalanced distribut...
Pelvic organ prolapse affects 30-50% of the female population. For definitive treatment surgery is unavoidable. Sacrocolpopexy has been the gold stand...
BACKGROUND: Minimally invasive Ivor Lewis esophagectomy (MIILE) provides better outcomes than open techniques, particularly in terms of post-operative...
BACKGROUND: Improving survival rates in rectal cancer patients has generated a growing interest in functional outcomes after total mesorectal excision...
BACKGROUND AND PURPOSE: Mechanical thrombectomy is an established procedure for treatment of acute ischemic stroke. Mechanical thrombectomy success is...
Integrating tactile feedback for lump localization in Robot-assisted Minimally Invasive Surgery (RMIS) represents an open research issue, which is sti...
BACKGROUND: The sequence of establishing a proximal stability or function before facilitation of the distal body part has long been recognized in stro...
The presence of computation and transmission-variable time delays within a robotic control loop is a major cause of instability, hindering safe human-...
Machine learning is a rapidly evolving field that offers physicians an innovative and comprehensive mechanism to examine various aspects of patient da...
Children with physical disabilities often have limited performance in daily activities, hindering their physical development, social development and m...
OBJECTIVES: To describe the innovative intraoperative technologies emerging to aid surgeons during minimally invasive robotic-assisted laparoscopic pr...
PURPOSE: To perform a systematic search and review of the available literature on the learning curves (LCs) in laparoscopic and robot-assisted prostat...
Electroencephalography (EEG) is commonly used to measure the depth of anesthesia (DOA) because EEG reflects surgical pain and state of the brain. Howe...
Even in most complex surgical settings, recent advances in minimal-invasive technologies have made the application of robotic-assisted devices more vi...
Machine learning algorithms are increasingly used in the clinical literature, claiming advantages over logistic regression. However, they are generall...
Diabetic retinopathy (DR) is a common chronic fundus disease, which has four different kinds of microvessel structure and microvascular lesions: micro...
The proportion of robotic procedures continues to rise. The literature reinforces that robotic procedures take longer and are often more costly. We c...
Medical imaging technologies, including computed tomography (CT) or chest X-Ray (CXR), are largely employed to facilitate the diagnosis of the COVID-1...