Surgery

[Robotic-assisted supraomohyoid neck dissection via retroauricular hairline incision].

To explore the feasibility of using da Vinci Surgical System to perform supraomohyoid neck dissecti...

Computer Vision Analysis of Intraoperative Video: Automated Recognition of Operative Steps in Laparoscopic Sleeve Gastrectomy.

OBJECTIVE(S): To develop and assess AI algorithms to identify operative steps in laparoscopic sleeve...

[Robot-assisted laparoscopic partial nephrectomy].

Currently, partial nephrectomy as a nephron-sparing surgery is the standard treatment method of mali...

Automatic Methods to Extract Prescription Status Quality Measures from Unstructured Health Records.

Hospital systems frequently implement quality measures to quantify healthcare processes and patient ...

Renal Biopsy Recommendation Based on Text Understanding.

Due to various etiologies and pathogenesis of kidney diseases, an invasive procedure called renal bi...

Relationship Between Very Cold Outside Weather and Surgical Outcome: Integrating Shallow and Deep Artificial Neural Nets.

Patients' hospital length of stay (LOS) as a surgical outcome is important indicator of quality of c...

Artificial Intelligence: Can Information be Transformed into Intelligence in Surgical Education?

Artificial intelligence (AI) is being rapidly integrated into various medical applications. Although...

Machine learning applications for the prediction of surgical site infection in neurological operations.

OBJECTIVE: Surgical site infection (SSI) following a neurosurgical operation is a complication that ...

[Accuracy Verification of Robot-assisted Mandibular Reconstruction Surgery].

Mandible is an important bone of the head and neck. Mandibular defects not only affect patient's fac...

Robotics and ophthalmology: Are we there yet?

Ophthalmology is a field that is now seeing the integration of robotics in its surgical procedures a...

Application of Machine Learning to Prediction of Surgical Site Infection.

Surgical site infections are an important health concern, particularly in low-resource areas, where ...

Representation Learning of 3D Brain Angiograms, an Application for Cerebral Vasospasm Prediction.

Stroke is the fifth leading cause of death in the United States. Subarachnoid hemorrhage (SAH) is a ...

CLPNet: Cleft Lip and Palate Surgery Support With Deep Learning.

Cleft lip and palate is the most common congenital malformation in oral and maxillofacial region. As...

Vision Based Robot Assistance in TTTS Fetal Surgery.

This paper presents an accurate and robust tracking vision algorithm for Fetoscopic Laser Photo-coag...

Gesture Classification Using LSTM Recurrent Neural Networks.

The classification of human hand gestures has gained widespread recognition as a natural and powerfu...

Recognition of Endovascular Manipulations using Recurrent Neural Networks.

The ability to accurately recognize elementary surgical gestures is a stepping stone to automated su...

U-NetPlus: A Modified Encoder-Decoder U-Net Architecture for Semantic and Instance Segmentation of Surgical Instruments from Laparoscopic Images.

With the advent of robot-assisted surgery, there has been a paradigm shift in medical technology for...

Improving Sensitivity on Identification and Delineation of Intracranial Hemorrhage Lesion Using Cascaded Deep Learning Models.

Highly accurate detection of the intracranial hemorrhage without delay is a critical clinical issue ...

Harnessing Minimally Invasive Surgery to Improve Outcomes in Endometrial Cancer Surgery-The Robots Are Coming.

Re: Minimally Invasive, Robot-Assisted Procedure for Kidney Transplantation among Morbidly Obese: Positive Outcomes at 5 Years Post-Transplant.

Application of deep learning (3-dimensional convolutional neural network) for the prediction of pathological invasiveness in lung adenocarcinoma: A preliminary study.

To compare results for radiological prediction of pathological invasiveness in lung adenocarcinoma b...