Surgery

Robot-assisted sacrocolpopexy for recurrent pelvic organ prolapse: Insights for a challenging surgical setting.

BACKGROUND: No consensus exists regarding the management of recurrent pelvic organ prolapse (POP). The aim of this study was to evaluate robot-assisted laparoscopic sacrocolpopexy for recurrent pelvic organ prolapse (POP), and to investigate postoperative outcomes.

Click-on fluorescence detectors: using robotic surgical instruments to characterize molecular tissue aspects.

Fluorescence imaging is increasingly being implemented in surgery. One of the drawbacks of its application is the need to switch back-and-forth between fluorescence- and white-light-imaging settings and not being able to dissect safely under fluorescence guidance. The aim of this study was to engineer 'click-on' fluorescence detectors that transform standard robotic instruments into molecular sens...

Deep learning approach for bubble segmentation from hysteroscopic images.

Gas embolism is a potentially serious complication of hysteroscopic surgery. It is particularly necessary to monitor bubble parameters in hysteroscopi...

Early experience with total robotic D2 gastrectomy in a low incidence region: surgical perspectives.

BACKGROUND: Few European centers have reported on robotic gastrectomy for malignancy. We report our early experience with curative-intent total roboti...

Effect of prostate and bony pelvic dimensions measured by preoperative magnetic resonance imaging on robot-assisted radical prostatectomy.

Bone pelvic dimensions and body habitus may have effects on robot-assisted radical prostatectomy (RARP). In this study, we examined the effects of bod...

Machine Learning-Based Analysis and Prediction of Unplanned 30-Day Readmissions After Pituitary Adenoma Resection: A Multi-Institutional Retrospective Study With External Validation.

BACKGROUND: Unplanned readmission after transsphenoidal resection of pituitary adenoma can occur in up to 10% of patients but is unpredictable.

Invited Commentary: Challenging Current Notions in Foregut Surgery: A Veterans Affairs Surgical Quality Improvement Program Database Analysis of the Robotic and Laparoscopic Approach to Benign Foregut Surgery.

A hybrid resampling algorithms SMOTE and ENN based deep learning models for identification of Marburg virus inhibitors.

Marburg virus (MARV) is a sporadic outbreak of a zoonotic disease that causes lethal hemorrhagic fever in humans. We propose a deep learning model wi...

Emotion Recognizing by a Robotic Solution Initiative (EMOTIVE Project).

BACKGROUND: Emotion recognition skills are predicted to be fundamental features in social robots. Since facial detection and recognition algorithms ar...

Robot-Assisted Right Colectomy with Sequential Wedge Resection of Segments 4 and 5 of The Liver and Cholecystectomy for Colon Cancer with Metastasis to The Liver.

The liver is the most common place for colon adenocarcinoma metastasis because of portal circulation. The surgical intervention for patients with colo...

Expert-augmented automated machine learning optimizes hemodynamic predictors of spinal cord injury outcome.

Artificial intelligence and machine learning (AI/ML) is becoming increasingly more accessible to biomedical researchers with significant potential to ...

Single utility port approach in robot-assisted sleeve segmentectomy for bronchial carcinoid tumor.

Bronchial carcinoid tumors are low-grade malignant and lung-sparing surgery is preferred for the removal of these tumors. We describe a surgical techn...

Editorial Comment to Are there disparities in access to robot-assisted laparoscopic surgery among pediatric urology patients? US institutional experience.

Critic Learning-Based Control for Robotic Manipulators With Prescribed Constraints.

In this article, the optimal control problem for robotic manipulators (RMs) with prescribed constraints is addressed. Considering the environmental co...

Distributed Adaptive Consensus of Nonlinear Heterogeneous Agents With Delayed and Sampled Neighbor Measurements.

In this article, the adaptive output consensus problem of high-order nonlinear heterogeneous agents is addressed using only delayed, sampled neighbor ...

Machine learning predicts blood lactate levels in children after cardiac surgery in paediatric ICU.

BACKGROUND: Although serum lactate levels are widely accepted markers of haemodynamic instability, an alternative method to evaluate haemodynamic stab...

The Multi-Institutional Experience in Single-Port Robotic Transvesical Simple Prostatectomy for Benign Prostatic Hyperplasia Management.

PURPOSE: Single-port (SP) robotic-assisted simple prostatectomy (RASP) through the transvesical approach is a novel surgical option in the management ...

Deep Learning of Rhabdomyosarcoma Pathology Images for Classification and Survival Outcome Prediction.

Rhabdomyosarcoma (RMS), the most common malignant soft tissue tumor in children, has several histologic subtypes that influence treatment and predict ...

Design and evaluation of an intelligent reduction robot system for the minimally invasive reduction in pelvic fractures.

INTRODUCTION: Pelvic fracture is a severe high-energy injury with the highest disability and mortality of all fractures. Traditional open surgery is a...

Tracking and predicting COVID-19 radiological trajectory on chest X-rays using deep learning.

Radiological findings on chest X-ray (CXR) have shown to be essential for the proper management of COVID-19 patients as the maximum severity over the ...