Surgery

Foot-Controlled Robot-Enabled EnDOscope Manipulator (FREEDOM) for Sinus Surgery: Design, Control, and Evaluation.

Despite successful clinical applications, teleoperated robotic surgical systems face particular limitations in the functional endoscopic sinus surgery (FESS) in terms of incompatible instrument dimensions and robot set-up. The endoscope remains manually handled by an assistant when the surgeon performs bimanual operations. This paper introduces the development of the Foot-controlled Robot-Enabled ...

Automatic segmentation of the mandible from computed tomography scans for 3D virtual surgical planning using the convolutional neural network.

Segmentation of mandibular bone in CT scans is crucial for 3D virtual surgical planning of craniofacial tumor resection and free flap reconstruction of the resection defect, in order to obtain a detailed surface representation of the bones. A major drawback of most existing mandibular segmentation methods is that they require a large amount of expert knowledge for manual or partially automatic seg...

Initial report of safety and procedure duration of robotic-assisted chronic total occlusion coronary intervention.

BACKGROUND: No previous reports have examined the impact of robotic-assisted (RA) chronic total occlusion (CTO) PCI on procedural duration or safety c...

An Integrated Sensor-Model Approach for Haptic Feedback of Flexible Endoscopic Robots.

Haptic feedback for flexible endoscopic surgical robots is challenging due to space constraints for sensors and shape-dependent force hysteresis of te...

Machine learning applications in epilepsy.

Machine learning leverages statistical and computer science principles to develop algorithms capable of improving performance through interpretation o...

Robotic Excision of Full-thickness Diaphragmatic Endometriosis.

STUDY OBJECTIVE: To describe a robotic approach to excision of full-thickness diaphragmatic endometriosis.

Early Esophageal Cancer: A Gastroenterologist's Disease.

Traditionally, early esophageal cancer (i.e., cancer limited to the mucosa or superficial submucosa) was managed surgically; the gastroenterologist's ...

Machine learning based prediction of perioperative blood loss in orthognathic surgery.

The aim of this study was to evaluate, if and with what accuracy perioperative blood loss can be calculated by a machine learning algorithm prior to o...

Perioperative intelligence: applications of artificial intelligence in perioperative medicine.

Asymptotic Soft Filter Pruning for Deep Convolutional Neural Networks.

Deeper and wider convolutional neural networks (CNNs) achieve superior performance but bring expensive computation cost. Accelerating such overparamet...

Artificial Intelligence Methods for Surgical Site Infection: Impacts on Detection, Monitoring, and Decision Making.

There has been tremendous growth in the amount of new surgical site infection (SSI) data generated. Key challenges exist in understanding the data fo...

Robotically Simulated Pivot Shift That Represents the Clinical Exam.

A thorough understanding of anterior cruciate ligament (ACL) function and the effects of surgical interventions on knee biomechanics requires robust t...

Investigation of bias in an epilepsy machine learning algorithm trained on physician notes.

Racial disparities in the utilization of epilepsy surgery are well documented, but it is unknown whether a natural language processing (NLP) algorithm...

Precision Surgical Therapy for Adenocarcinoma of the Esophagus and Esophagogastric Junction.

INTRODUCTION: To facilitate the initial clinical decision regarding whether to use esophagectomy alone or neoadjuvant therapy in surgical care for ind...

Reply to Gregory J. Nason, Michael A.S. Jewett, and Robert J. Hamilton's Letter to the Editor re: Adam C. Calaway, Lawrence H. Einhorn, Timothy A. Masterson, Richard S. Foster, Clint Cary. Adverse Surgical Outcomes Associated with Robotic Retroperitoneal Lymph Node Dissection Among Patients with Testicular Cancer. Eur Urol 2019;76:607-609: Adverse Surgical Outcomes Associated with Robotic Retroperitoneal Lymph Node Dissection Among Patients with Testicular Cancer.

Precise estimation of renal vascular dominant regions using spatially aware fully convolutional networks, tensor-cut and Voronoi diagrams.

This paper presents a new approach for precisely estimating the renal vascular dominant region using a Voronoi diagram. To provide computer-assisted d...

Medical Robotics in Bone Fracture Reduction Surgery: A Review.

Since the advantages of precise operation and effective reduction of radiation, robots have become one of the best choices for solving the defects of ...

Machine learning applications to clinical decision support in neurosurgery: an artificial intelligence augmented systematic review.

Machine learning (ML) involves algorithms learning patterns in large, complex datasets to predict and classify. Algorithms include neural networks (NN...

Real-time surgical needle detection using region-based convolutional neural networks.

OBJECTIVE: Conventional surgical assistance and skill analysis for suturing mostly focus on the motions of the tools. As the quality of the suturing i...

Re: Adam C. Calaway, Lawrence H. Einhorn, Timothy A. Masterson, Richard S. Foster, Clint Cary. Adverse Surgical Outcomes Associated with Robotic Retroperitoneal Lymph Node Dissection Among Patients with Testicular Cancer. Eur Urol 2019;76:607-9.