Surgery

Machine learning-aided personalized DTI tractographic planning for deep brain stimulation of the superolateral medial forebrain bundle using HAMLET.

BACKGROUND: Growing interest exists for superolateral medial forebrain bundle (slMFB) deep brain stimulation (DBS) in psychiatric disorders. The surgical approach warrants tractographic rendition. Commercial stereotactic planning systems use deterministic tractography which suffers from inherent limitations, is dependent on manual interaction (ROI definition), and has to be regarded as subjective....

Robotic assisted generation of 2'-deoxy-2'-fluoro-modifed RNA aptamers - High performance enabling strategies in aptamer selection.

Aptamer selection is a laborious procedure, requiring expertise and significant resources. These characteristics limit the accessibility of researchers to these molecular tools. We describe a selection procedure, making use of a robotic system that allows the fully automated selection of RNA and 2'deoxy-2'-fluoro pyrimidine RNA aptamers. The platform offers a rapid access to aptamers for basic res...

Outcomes and impact of laparoscopic inguinal hernia repair versus open inguinal hernia repair on healthcare spending and employee absenteeism.

BACKGROUND: This study compares the impact of open (OIHR) versus laparoscopic (LIHR) inguinal hernia repair on healthcare spending and postoperative o...

Surgical Approaches to the Adrenal Gland.

Adrenalectomy can be performed open, endoscopically or robotically, utilizing a transabdominal or retroperitoneal approach. This chapter describes the...

Does transanal total mesorectal excision of rectal cancer improve histopathology metrics and/or complication rates? A meta-analysis.

BACKGROUND: The aim of this meta-analysis was to determine whether transanal total mesorectal excision (taTME) improves histopathology metrics and/or ...

Video-based surgical skill assessment using 3D convolutional neural networks.

PURPOSE: A profound education of novice surgeons is crucial to ensure that surgical interventions are effective and safe. One important aspect is the ...

Biocompatible propulsion for biomedical micro/nano robotics.

Micro/Nano robots have shown enormous potential for diverse biomedical applications, such as targeted delivery, in vivo biosensing, minimally invasive...

The Pelvis-First Approach for Robotic Proctectomy in Patients with Redundant Abdominal Colon.

BACKGROUND: Robotic surgery is increasingly performed for low rectal cancer.1 A redundant sigmoid colon makes retraction and pelvic dissection challen...

Robotics in Dental Implantology.

Robotic surgery is no longer a fiction and its clinical applications are rapidly developing. Robotic surgery is increasingly used because of its minim...

Surgical skill levels: Classification and analysis using deep neural network model and motion signals.

BACKGROUND AND OBJECTIVES: Currently, the assessment of surgical skills relies primarily on the observations of expert surgeons. This may be time-cons...

A novel patch-based procedure for estimating brain age across adulthood.

Aging is associated with structural alterations in many regions of the brain. Monitoring these changes contributes to increasing our understanding of ...

Deep convolutional neural networks for tongue squamous cell carcinoma classification using Raman spectroscopy.

With deep convolutional neural networks and fiber optic Raman spectroscopy, this study presents a novel classification method that discriminates tongu...

Image Thresholding Improves 3-Dimensional Convolutional Neural Network Diagnosis of Different Acute Brain Hemorrhages on Computed Tomography Scans.

Intracranial hemorrhage is a medical emergency that requires urgent diagnosis and immediate treatment to improve patient outcome. Machine learning alg...

Comparison of robot-assisted modified radical neck dissection using a bilateral axillary breast approach with a conventional open procedure after propensity score matching.

BACKGROUND: There is ongoing debate about whether or not robot-assisted thyroidectomy is appropriate for modified radical neck dissection (MRND). The ...

Declining use of radical prostatectomy and pelvic lymphadenectomy despite more robotics: National population data over 15 years.

AIM: To describe national surgical patterns of prostate cancer (PCa) care considering radical prostatectomy with or without pelvic lymphadenectomy and...

Deep learning-based survival prediction of oral cancer patients.

The Cox proportional hazards model commonly used to evaluate prognostic variables in survival of cancer patients may be too simplistic to properly pre...

Can machine learning predict resecability of a peritoneal carcinomatosis?

BACKGROUND: Approximately 20% of initially eligible patients in a HIPEC procedure eventually underwent a simple surgical exploration. These procedures...

Research on Patient Satisfaction of Robotic Telerounding: A Pilot Study in a Korean Population.

OBJECTIVES: To evaluate the efficacy and functionality of robotic telerounding among Korean patients using the RP-7 robot system and a questionnaire s...

Prediction of hematoma expansion in spontaneous intracerebral hemorrhage using support vector machine.

BACKGROUND: Spontaneous intracerebral hemorrhage (ICH) is a devastating disease with high mortality rate. This study aimed to predict hematoma expansi...

Bottom-level motion control for robotic fish to swim in groups: modeling and experiments.

Moving in groups is an amazing spectacle of collective behaviour in fish and has attracted considerable interest from many fields, including biology, ...