Latest AI and machine learning research in surgery for healthcare professionals.
We describe a new technique for hydrodilatation of the frozen shoulder, which we coined 'Sonographically-Navigated Frozen Shoulder Release (S-FSR)' or 'Dr Gonzalez's technique.' Traditional treatments include a combination of conservative and surgical modalities, such as non-steroidal anti-inflammatories, physical therapy, and open capsular release. We describe a modification to hydrodilatation of...
BACKGROUND AND OBJECTIVES: In high-grade glioma (HGG) surgery, intraoperative MRI (iMRI) has traditionally been the gold standard for maximizing tumor resection and improving patient outcomes. However, recent Level 1 evidence juxtaposes the efficacy of iMRI and 5-aminolevulinic acid (5-ALA), questioning the continued justification of iMRI because of its associated costs and extended surgical durat...
INTRODUCTION AND OBJECTIVE: Real-time artificial intelligence (AI) annotation of the surgical field has the potential to automatically extract informa...
Robotic systems have successfully been introduced into other surgical fields in the past. First attempts with different setups are made in the field ...
Optoacoustic (photoacoustic) mesoscopy bridges the gap between optoacoustic microscopy and macroscopy and enables high-resolution visualization deeper...
OBJECTIVE: Conventional colonoscopy using a flexible colonoscope remains two major limitations, including patient discomfort and difficult manipulatio...
BACKGROUND: Kidney renal clear cell carcinoma (KIRC), as a common case in renal cell carcinoma (RCC), has the risk of postoperative recurrence, thus i...
BACKGROUND: Subarachnoid hemorrhage (SAH) entails high morbidity and mortality rates. Convolutional neural networks (CNN) are capable of generating hi...
Background Pancreatic ductal adenocarcinoma (PDAC) is the most common type of pancreatic cancer (PC) in the United States. In patients with resectable...
OBJECTIVES: To predict the functional outcome of patients with intracerebral hemorrhage (ICH) using deep learning models based on computed tomography ...
BACKGROUND AND OBJECTIVE: The standard non-invasive imaging technique used to assess the severity and extent of Coronary Artery Disease (CAD) is Coron...
To determine the perioperative quality assessment results and learning curves for robot-assisted anatomical lung resection. We analyzed the data of ...
The value of intrinsic energetic behavior of human biomechanics has recently been recognized and exploited in physical human-robot interaction (pHRI)....
Minimally invasive surgery (MIS) is commonly used in some robotic-assisted surgery (RAS) systems. However, many RAS lack the strength and tactile sens...
Labour shortages and costly operator training are driving the need for digital on-board robotic crane operator support in forestry and construction. T...
BACKGROUND: The rapid adoption of robotics within minimally invasive surgical specialties has also seen an explosion of new technology including multi...
Accurate staging of bladder cancer assists in identifying optimal treatment (e.g., transurethral resection vs. radical cystectomy vs. bladder preserva...
: The present systematic review and meta-analysis undertake a comparison of studies that examine the accuracy of robot-assisted dental implant placeme...
Background Bony fusion is a critical factor in the outcome of cervical spinal fusion surgery. While several factors have been proposed to affect bony ...
OBJECTIVE: Robot-assisted minimally invasive coronary bypass surgery is one of the least invasive approaches that offers multivessel revascularization...