Surgery

Machine Learning-Based Forecast of Hemorrhagic Stroke Healthcare Service Demand considering Air Pollution.

This study aimed to forecast the pattern of the demand for hemorrhagic stroke healthcare services ba...

A Commentary on "Robotic versus laparoscopic liver resection in complex cases of left lateral sectionectomy" (Int J Surg 2019; 67: 54-60).

Predicting the quality of surgical exposure using spatial and procedural features from laparoscopic videos.

PURPOSE : Evaluating the quality of surgical procedures is a major concern in minimally invasive sur...

Proof of Concept of an Assistive Robotic Arm Control Using Artificial Stereovision and Eye-Tracking.

Assistive robotic arms have become popular to help users with upper limb disabilities achieve autono...

Robot-assisted Nipple-sparing Mastectomy with Immediate Breast Reconstruction: An Initial Experience.

Seeking smaller and indistinct incisions, physicians have attempted endoscopic breast surgery in bre...

Increasing Cardiovascular Data Sampling Frequency and Referencing It to Baseline Improve Hemorrhage Detection.

UNLABELLED: We hypothesize that knowledge of a stable personalized baseline state and increased data...

Attribution of intentional agency towards robots reduces one's own sense of agency.

In the presence of others, sense of agency (SoA), i.e. the perceived relationship between our own ac...

True single-port cholecystectomy with ICG cholangiography through a single 15-mm trocar using the new surgical platform "symphonX": first human case study with a commercially available device.

BACKGROUND: Minimally invasive single-port surgery is often associated with large incisions up to 2-...

Can We Improve Prediction of Adverse Surgical Outcomes? Development of a Surgical Complexity Score Using a Novel Machine Learning Technique.

BACKGROUND: An optimal method to quantify surgical complexity using patient comorbidities derived fr...

MediMLP: Using Grad-CAM to Extract Crucial Variables for Lung Cancer Postoperative Complication Prediction.

Lung cancer postoperative complication prediction (PCP) is significant for decreasing the perioperat...

Drainage Collection After Endoscopic-Assisted Transaxillary Dual-Plane Augmentation Mammaplasty Using Cold or Electrosurgical Separation of Interpectoral Space.

BACKGROUND: Endoscopic transaxillary augmentation mammaplasty breast augmentation offers several adv...

Design, characterization and optimization of a soft fluidic actuator for minimally invasive surgery.

PURPOSE: In minimally invasive surgery and endoscopy, the rise of soft robotics, using materials of ...

Applying Machine Learning Techniques in Nomogram Prediction and Analysis for SMILE Treatment.

PURPOSE: To analyze the outcome of machine learning technique for prediction of small incision lenti...

What microsurgeon, orthopaedic and plastic surgeon should know about bionic hand.

Hand loss is a catastrophic event that generates significant demands for orthopedics and prosthetics...

Expert-level detection of acute intracranial hemorrhage on head computed tomography using deep learning.

Computed tomography (CT) of the head is used worldwide to diagnose neurologic emergencies. However, ...

Training for Walking Efficiency With a Wearable Hip-Assist Robot in Patients With Stroke: A Pilot Randomized Controlled Trial.

Background and Purpose- The purpose of this study was to investigate the effects of gait training wi...

Foam Sclerotherapy for Cyst Volume Reduction in Autosomal Dominant Polycystic Kidney Disease: A Prospective Cohort Study.

RATIONALE & OBJECTIVE: Autosomal dominant polycystic kidney disease (ADPKD) is the most common inher...

A system for bedside assistance that integrates a robotic bed and a mobile manipulator.

Various situations, such as injuries or long-term disabilities, can result in people receiving physi...

Machine learning-guided channelrhodopsin engineering enables minimally invasive optogenetics.

We engineered light-gated channelrhodopsins (ChRs) whose current strength and light sensitivity enab...

Design and development of a robotic predator as a stimulus in conditioned place aversion for the study of the effect of ethanol and citalopram in zebrafish.

Zebrafish are becoming a species of choice in psychopharmacology, laying a promising path to refined...

A microsurgical robot research platform for robot-assisted microsurgery research and training.

PURPOSE: Ocular surgery, ear, nose and throat surgery and neurosurgery are typical types of microsur...