Surgery

Real-time automatic surgical phase recognition in laparoscopic sigmoidectomy using the convolutional neural network-based deep learning approach.

BACKGROUND: Automatic surgical workflow recognition is a key component for developing the context-aw...

Re: Robotic Transanal Minimally Invasive Rectal Mucosa Harvest.

Re: Perioperative Outcomes and Complications after Robotic Radical Cystectomy with Intracorporeal or Extracorporeal Ileal Conduit Urinary Diversion: Head-to-Head Comparison from a Single-Institutional Prospective Study.

Machine learning of physiological waveforms and electronic health record data to predict, diagnose and treat haemodynamic instability in surgical patients: protocol for a retrospective study.

INTRODUCTION: About 42 million surgeries are performed annually in the USA. While the postoperative ...

Development and Validation of a Machine Learning Model to Aid Discharge Processes for Inpatient Surgical Care.

IMPORTANCE: Inpatient overcrowding is associated with delays in care, including the deferral of surg...

A “human-proof pointy-end”: a robotically applied hemostatic clamp for care-under-fire.

Providing the earliest hemorrhage control is now recognized as a shared responsibility of all member...

Comparison of bupivacaine alone and in a combination with lidocaine for caudal block in patients undergoing circumcision: A historical cohort study.

OBJECTIVE: Optimal analgesia following ambulatory surgery is an important matter in patient satisfac...

Protocol for the Effectiveness of an Anesthesiology Control Tower System in Improving Perioperative Quality Metrics and Clinical Outcomes: the TECTONICS randomized, pragmatic trial.

Perioperative morbidity is a public health priority, and surgical volume is increasing rapidly. Wit...

Machine Learning Approaches to Radiogenomics of Breast Cancer using Low-Dose Perfusion Computed Tomography: Predicting Prognostic Biomarkers and Molecular Subtypes.

Radiogenomics investigates the relationship between imaging phenotypes and genetic expression. Breas...

Recent Trends, Technical Concepts and Components of Computer-Assisted Orthopedic Surgery Systems: A Comprehensive Review.

Computer-assisted orthopedic surgery (CAOS) systems have become one of the most important and challe...

Pure transanal total mesorectal excision for rectal cancer: experience with 55 cases.

BACKGROUND: Although the anatomic difficulties of laparoscopic surgery for rectal cancer have been r...

Intraoperative localization of small pulmonary nodules to assist surgical resection: A novel approach using a surgical navigation puncture robot system.

BACKGROUND: Localization and resection of nonvisible, nonpalpable pulmonary nodules during video-ass...

Learning the representation of instrument images in laparoscopy videos.

Automatic recognition of instruments in laparoscopy videos poses many challenges that need to be add...

Weakly supervised segmentation for real-time surgical tool tracking.

Surgical tool tracking has a variety of applications in different surgical scenarios. Electromagneti...

Real-time surgical instrument detection in robot-assisted surgery using a convolutional neural network cascade.

Surgical instrument detection in robot-assisted surgery videos is an import vision component for the...

Efficacy of Dexmedetomidine as an Adjuvant to Bupivacaine in Ultrasound-Guided Transverse Abdominis plane Block for Laparoscopic appendicectomy: A Randomised Controlled Study.

OBJECTIVE: Dexmedetomidine is an alpha 2-adrenergic agonist that prolongs analgesia as an adjuvant w...

Robot-assisted flexible needle insertion using universal distributional deep reinforcement learning.

PURPOSE: Flexible needle insertion is an important minimally invasive surgery approach for biopsy an...

Continuous-Flow Left Ventricular Assist Devices and Valvular Heart Disease: A Comprehensive Review.

Mechanical circulatory support with implantable durable continuous-flow left ventricular assist devi...

Meteorological factors for subarachnoid hemorrhage in the greater Düsseldorf area revisited: a machine learning approach to predict the probability of admission of patients with subarachnoid hemorrhage.

BACKGROUND: Reported data regarding the relation between the incidence of spontaneous subarachnoid h...

Adaptive Fusion-Based Autonomous Laparoscope Control for Semi-Autonomous Surgery.

The purpose of this paper is to develop an autonomous tracking algorithm based on adaptive fusion ki...

Functional MRI in Conjunction with a Novel MRI-compatible Hand-induced Robotic Device to Evaluate Rehabilitation of Individuals Recovering from Hand Grip Deficits.

Functional magnetic resonance imaging (fMRI) is a non-invasive magnetic resonance imaging technique ...