Latest AI and machine learning research in surgery for healthcare professionals.
Many robotic devices that are used for therapy or as assistive devices rely on pre-defined reference trajectories to assist the user's movements. Fixed pre-defined trajectories force the user to adapt to unnatural movement patterns which may be detrimental to rehabilitation outcomes. We propose a database-driven approach to adapt the reference trajectory of robotic training devices that rely on cy...
PURPOSE: This paper focuses on an automated analysis of surgical motion profiles for objective skill assessment and task recognition in robot-assisted surgery. Existing techniques heavily rely on conventional statistic measures or shallow modelings based on hand-engineered features and gesture segmentation. Such developments require significant expert knowledge, are prone to errors, and are less e...
This study is aimed at assessing of a robot intervention in a task-based upper-arm rehabilitation procedure. Robotic devices have significantly been u...
Blastocyst microinjections, like many other biomanipulation tasks, involve delicate and precise manual control of micropipettes under a microscope. Th...
We present a new surgical robot hardware-in-the-loop simulator, with 3D surgical field reconstruction in RGB-D sensor range, which allows tool-tissue ...
As a walking assistive device, one of major goals should be reduce wearer's metabolic cost as much as possible. Toward this goal, this paper presents ...
Feature learning plays a crucial role in data analysis when the measured data is in a high dimensional space. This paper applied the feature learning ...
The population in advanced countries is rapidly aging, and these countries are faced with various issues pertaining to the rapidly aging population. I...
The acquisition of laparoscopic technical skills is constrained by the limited training opportunities and the necessity of having staff physicians on ...
Convolutional neural networks have been widely used for identifying diabetic retinopathy on color fundus images. For such application, we proposed a n...
To build risk prediction models for acute kidney injury (AKI) in severely burned patients, and to compare the prediction performance of machine learn...
We present the case of a 74-year-old man with Stage IIa pulmonary adenocarcinoma, for which he underwent a robotic right middle lobectomy. A 4-armed, ...
Motor impairment is the most common symptom in multiple sclerosis (MS). Thus, a variety of new rehabilitative strategies, including robotic gait train...
Mannitol, an osmotic diuretic, has been used to prevent acute kidney injury (AKI). However, studies have found divergent effects of intraoperative man...
: Palliative surgical procedures are often performed for patients with limited survival. Quality measures for processes of care at the end of life are...
One of the first surgical specialties to adopt robotic procedures and one that continues to innovate
A concise review of the use of robotic technology to enhance surgery
We propose an analysis of surgical videos that is based on a novel recurrent convolutional network (SV-RCNet), specifically for automatic workflow rec...
In this paper, the automatic detection of neovascularization in the optic disc region (NVD) for color fundus retinal image is presented. NV is the ind...
Recently, there have been many developments and improvements in portal hypertension surgery, but there are still many controversies regarding the surg...