AIMC Topic: Humans

Clear Filters Showing 40261 to 40270 of 95995 articles

A novel application of neural networks to identify potentially effective combinations of biologic factors for enhancement of bone fusion/repair.

PloS one
INTRODUCTION: The use of biologic adjuvants (orthobiologics) is becoming commonplace in orthopaedic surgery. Among other applications, biologics are often added to enhance fusion rates in spinal surgery and to promote bone healing in complex fracture...

Deep-learning-based automatic facial bone segmentation using a two-dimensional U-Net.

International journal of oral and maxillofacial surgery
The use of deep learning (DL) in medical imaging is becoming increasingly widespread. Although DL has been used previously for the segmentation of facial bones in computed tomography (CT) images, there are few reports of segmentation involving multip...

Initial experience with a novel robotic surgical system in abdominal surgery.

Journal of robotic surgery
The emergence of robotics in surgery has led to a recent boom in the acceptance of such technology. This technology has been rapidly adopted in various fields, with the most prominent being general surgery. The number of abdominal procedures being pe...

Comparison of single-port and multi-port Retzius-sparing robot-assisted laparoscopic prostatectomy.

Journal of robotic surgery
Dissemination of robotic surgical technology for robot-assisted laparoscopic prostatectomy (RALP) has yielded advancements including the Retzius-sparing (RS) approach and the single-port (SP) platform. The safety and feasibility of each individual ad...

Volume-outcome relationship in intra-abdominal robotic-assisted surgery: a systematic review.

Journal of robotic surgery
As robotic-assisted surgery (RAS) expands to smaller centres, platforms are shared between specialities. Healthcare providers must consider case volume and mix required to maintain quality and cost-effectiveness. This can be informed, in-part, by the...

Measuring pure ground-glass nodules on computed tomography: assessing agreement between a commercially available deep learning algorithm and radiologists' readings.

Acta radiologica (Stockholm, Sweden : 1987)
BACKGROUND: Deep learning algorithms (DLAs) could enable automatic measurements of solid portions of mixed ground-glass nodules (mGGNs) in agreement with the invasive component sizes measured during pathologic examinations. However, the measurement o...

End-to-end deep learning model for segmentation and severity staging of anterior cruciate ligament injuries from MRI.

Diagnostic and interventional imaging
PURPOSE: The purpose of this study was to develop a semi-supervised segmentation and classification deep learning model for the diagnosis of anterior cruciate ligament (ACL) tears on MRI based on a semi-supervised framework, double-linear layers U-Ne...

A Natural Language Processing and Machine Learning Approach to Identification of Incidental Radiology Findings in Trauma Patients Discharged from the Emergency Department.

Annals of emergency medicine
STUDY OBJECTIVE: Patients undergoing diagnostic imaging studies in the emergency department (ED) commonly have incidental findings, which may represent unrecognized serious medical conditions, including cancer. Recognition of incidental findings freq...

Successful implementation of a nurse-navigator-run program using natural language processing identifying patients with an abdominal aortic aneurysm.

Journal of vascular surgery
BACKGROUND: Abdominal aortic aneurysms (AAA) are often identified incidentally on imaging studies. Patients and/or providers are frequently unaware of these AAA and the need for long-term follow-up. We sought to evaluate the outcome of a nurse-naviga...

Increased cost burden associated with robot-assisted rectopexy: do patient outcomes justify increased expenditure?

Surgical endoscopy
BACKGROUND: Robot-assisted surgical techniques have flourished over the years, with refinement in instrumentation and optics allowing for adaptation and increasing utilization across surgical fields. Transabdominal rectopexy with mesh for rectal prol...