Latest AI and machine learning research in surgery for healthcare professionals.
OBJECTIVE: To compare the ability of a deep-learning platform (the MACSSwin-T model) with health care professionals in detecting cerebral aneurysms from operative videos. Secondly, we aimed to compare health care professionals' ability to detect cerebral aneurysms with and without artificial intelligence (AI) assistance. BACKGROUND: Modern microscopic surgery enables the capture of operative video...
In the last decades, robotic cultivation facilities combined with automated execution of workflows have drastically increased the speed of research in biotechnology. In this work, we present the design and deployment of a digital infrastructure for robotic cultivation platforms. We implement a Workflow Management System, using Directed Acyclic Graphs, based on the open-source platform Apache Airfl...
Seizure localization is important for managing drug-resistant focal epilepsy. Here, the capability of a novel deep learning-based source imaging frame...
Clinical studies have proved significant improvements in hand motor function in stroke patients when assisted by robotic devices. However, there were ...
RATIONALE AND OBJECTIVES: Hemorrhagic transformation (HT) is one of the most serious complications in patients with acute ischemic stroke (AIS) follow...
BACKGROUND: A high portal pressure gradient (PPG) is associated with an increased risk of failure to control esophagogastric variceal hemorrhage and r...
INTRODUCTION: No investigation of each nation's contribution to knowledge production and human capital in surgery currently exists. Previous studies e...
BACKGROUND AND OBJECTIVE: For the augmented reality of surgical navigation, which overlays a 3D model of the surgical target on an image, accurate cam...
Heart failure remains one of the leading causes of mortality and hospitalizations in the US that not only impacts quality of life but also poses a sig...
Unsupervised domain adaptation (UDA) has received interest as a means to alleviate the burden of data annotation. Nevertheless, existing UDA segmentat...
BACKGROUND: Manual objective assessment of skill and errors in minimally invasive surgery have been validated with correlation to surgical expertise a...
While Artificial Intelligence (AI) has the potential to transform the field of diagnostic radiology, important obstacles still inhibit its integration...
Geobacillus thermoglucosidasius NCIMB 11955 possesses advantages, such as high-temperature tolerance, rapid growth rate, and low contamination risk. A...
A seven-year-old girl was referred for the treatment of her primary teeth. An inferior alveolar nerve block was administered using 1 mL of 2% lidocain...
PURPOSE: Spontaneous bacterial peritonitis (SBP) is a bacterial infection of ascitic fluid that develops naturally, without being triggered by any sur...
Net-winged midge larvae (Blephariceridae) are known for their remarkable ability to adhere to and crawl on the slippery surfaces of rocks in fast-flow...
Artificial intelligence (AI) has made invaluable contributions to the technologic advancements across many fields. It is transforming health care and...
Lung cancer is one of the most prevalent and lethal cancers. To improve health outcomes while reducing health care burden, it becomes crucial to move ...
BACKGROUND: Surgeons can experience elevated cognitive workload (CWL) during surgery due to various factors including operative technicalities and the...
In robotics, particularly for autonomous navigation and human-robot collaboration, the significance of unconventional imaging techniques and efficient...