Surgery

An Invited Commentary on "Long-term oncological outcomes in robotic versus laparoscopic approach for rectal cancers: A systematic review and meta-analysis" (Int. J. Surg. 2020; Epub ahead of print).

FetNet: a recurrent convolutional network for occlusion identification in fetoscopic videos.

PURPOSE: Fetoscopic laser photocoagulation is a minimally invasive surgery for the treatment of twin-to-twin transfusion syndrome (TTTS). By using a lens/fibre-optic scope, inserted into the amniotic cavity, the abnormal placental vascular anastomoses are identified and ablated to regulate blood flow to both fetuses. Limited field-of-view, occlusions due to fetus presence and low visibility make i...

Construction of a Machine Learning Dataset through Collaboration: The RSNA 2019 Brain CT Hemorrhage Challenge.

This dataset is composed of annotations of the five hemorrhage subtypes (subarachnoid, intraventricular, subdural, epidural, and intraparenchymal hemo...

Prediction of Postoperative Length of Hospital Stay Based on Differences in Nursing Narratives in Elderly Patients with Epithelial Ovarian Cancer.

OBJECTIVES:  The current study sought to evaluate whether nursing narratives can be used to predict postoperative length of hospital stay (LOS) follow...

Analysis of gene expression profiles of lung cancer subtypes with machine learning algorithms.

Lung cancer is one of the most common cancer types worldwide and causes more than one million deaths annually. Lung adenocarcinoma (AC) and lung squam...

Machine learning approach for prediction of hearing preservation in vestibular schwannoma surgery.

In vestibular schwannoma patients with functional hearing status, surgical resection while preserving the hearing is feasible. Hearing levels, tumor s...

Development and Validation of Machine Learning Algorithms for Predicting Adverse Events After Surgery for Lumbar Degenerative Spondylolisthesis.

BACKGROUND: Preoperative prognostication of adverse events (AEs) for patients undergoing surgery for lumbar degenerative spondylolisthesis (LDS) can i...

Intelligent, Autonomous Machines in Surgery.

Surgeons perform two primary tasks: operating and engaging patients and caregivers in shared decision-making. Human dexterity and decision-making are ...

LIT-PCBA: An Unbiased Data Set for Machine Learning and Virtual Screening.

Comparative evaluation of virtual screening methods requires a rigorous benchmarking procedure on diverse, realistic, and unbiased data sets. Recent i...

An invited commentary on "Long-term oncological outcomes in robotic versus laparoscopic approach for rectal cancer: A systematic review and meta-analysis" (Int J Surg 2020; Epub ahead of print).

Adaptive Variable Stiffness Particle Phalange for Robust and Durable Robotic Grasping.

Grasping is an important characteristic of robots in interacting with humans and the environment. Due to the inherent compliance of soft grippers, the...

Leveraging vision and kinematics data to improve realism of biomechanic soft tissue simulation for robotic surgery.

PURPOSE: Surgical simulations play an increasingly important role in surgeon education and developing algorithms that enable robots to perform surgica...

Perioperative margin detection in basal cell carcinoma using a deep learning framework: a feasibility study.

PURPOSE: Basal cell carcinoma (BCC) is the most commonly diagnosed cancer and the number of diagnosis is growing worldwide due to increased exposure t...

Learned optical flow for intra-operative tracking of the retinal fundus.

PURPOSE: Sustained delivery of regenerative retinal therapies by robotic systems requires intra-operative tracking of the retinal fundus. We propose a...

Invited Commentary on "Long-term oncological outcomes in robotic versus laparoscopic approach for rectal cancer: A systematic review and meta-analysis".

Stepwise Description and Outcomes of Bladder Neck Sparing Robot-Assisted Simple Prostatectomy.

To present a stepwise description and outcomes of bladder neck sparing (BNS) robot-assisted simple prostatectomy (RASP). Between March 2015 and Dece...

Comment on: Dirie NI, Ahmed MA, Wang S. Is secondary robotic pyeloplasty safe and effective as primary robotic pyeloplasty? A systematic review and meta-analysis. J Robotic Surg 2020;14:241-8.

Submandibular gland excision: From external surgery to robotic intraoral and extraoral approaches.

Submandibular gland excision is generally performed through a transcervical approach, a safe procedure that, however, carries few neurological, functi...

Development of an artificial intelligence system using deep learning to indicate anatomical landmarks during laparoscopic cholecystectomy.

BACKGROUND: The occurrence of bile duct injury (BDI) during laparoscopic cholecystectomy (LC) is an important medical issue. Expert surgeons prevent i...

Improving Grasp Function After Spinal Cord Injury With a Soft Robotic Glove.

People with tetraplegia resulting from spinal cord injury experience debilitating hand impairments that may lead to lifelong dependence on others to p...