Surgery

Multi-task recurrent convolutional network with correlation loss for surgical video analysis.

Surgical tool presence detection and surgical phase recognition are two fundamental yet challenging ...

Effect of surgical parameters on the biomechanical behaviour of bicondylar total knee endoprostheses - A robot-assisted test method based on a musculoskeletal model.

The complicated interplay of total knee replacement (TKR) positioning and patient-specific soft tiss...

Identification of postoperative complications using electronic health record data and machine learning.

BACKGROUND: Using the American College of Surgeons National Surgical Quality Improvement Program (NS...

Formalizing video documentation of the Critical View of Safety in laparoscopic cholecystectomy: a step towards artificial intelligence assistance to improve surgical safety.

BACKGROUND: In laparoscopic cholecystectomy (LC), achievement of the Critical View of Safety (CVS) i...

Effect of bladder neck sparing at robot-assisted laparoscopic prostatectomy on postoperative continence rates and biochemical recurrence.

OBJECTIVES: Previous studies reported improved continence recovery by bladder neck sparing (BNS) in ...

Clinical Study on Minimally Invasive Liquefaction and Drainage of Hypertensive Putaminal Hemorrhage through Frontal Approach.

 Hypertensive intracerebral hemorrhage is one of the most common cerebrovascular diseases with high...

Prediction of thirty-day morbidity and mortality after laparoscopic sleeve gastrectomy: data from an artificial neural network.

BACKGROUND: Multiple patient factors may convey increased risk of 30-day morbidity and mortality aft...

Making Sense of Pharmacovigilance and Drug Adverse Event Reporting: Comparative Similarity Association Analysis Using AI Machine Learning Algorithms in Dogs and Cats.

Drug-associated adverse events cause approximately 30 billion dollars a year of added health care ex...

Academic Review and Perspectives on Robotic Exoskeletons.

Since the first robotic exoskeleton was developed in 1960, this research field has attracted much in...

Neural network methodology for real-time modelling of bio-heat transfer during thermo-therapeutic applications.

Real-time simulation of bio-heat transfer can improve surgical feedback in thermo-therapeutic treatm...

Hemophilia C: A Case Report With Updates on Diagnosis and Management of a Rare Bleeding Disorder.

Hemophilia C or factor XI deficiency is a rare clotting disorder with prevalence of only 1 per 1 mil...

Robotic anatomic pulmonary segmentectomy: technical approach and outcomes.

OBJECTIVE: to report our initial experience with pulmonary robotic segmentectomy, describing the sur...

Prediction of complication related death after radical cystectomy for bladder cancer with machine learning methodology.

To create a pre-operatively usable tool to identify patients at high risk of early death (within 90...

Commentary: Robotic anatomic pulmonary resection: Cinderella has left the house.

Commentary: Robotic anatomic lung resection: Raising the bar of our expectations in treating lung cancer.

Making the Jump: A Qualitative Analysis on the Transition From Bedside Assistant to Console Surgeon in Robotic Surgery Training.

OBJECTIVE: To determine barriers associated with the transition from bedside assistant to console su...

Deep-learning model for predicting 30-day postoperative mortality.

BACKGROUND: Postoperative mortality occurs in 1-2% of patients undergoing major inpatient surgery. T...

Transplant nephrectomy with peritoneal window: Georgetown University experience.

OBJECTIVES: Transplant nephrectomy is a technically challenging procedure with high complication rat...

Laparoscopic resection of choledochal cysts in adults: a series from Turkey.

OBJECTIVES: Choledochal cyst is a congenital disease in which surgical treatment is preliminary beca...

Machine Learning to Predict In-Hospital Morbidity and Mortality after Traumatic Brain Injury.

Recently, successful predictions using machine learning (ML) algorithms have been reported in variou...

Symmetry of generalized rivalry network models determines patterns of interocular grouping in four-location binocular rivalry.

Previously, symmetry of network models has been proposed to account for interocular grouping during ...