Latest AI and machine learning research in surgery for healthcare professionals.
This paper presents an accurate and robust tracking vision algorithm for Fetoscopic Laser Photo-coagulation (FLP) surgery for Twin-Twin Transfusion Syndrome (TTTS). The aim of the proposed method is to assist surgeons during anastomosis localization, coagulation and review using a tele-operated robotic system. The algorithm computes the relative position of the fetoscope tool tip with respect to t...
The classification of human hand gestures has gained widespread recognition as a natural and powerful way to interact intuitively and efficiently with computers. Specifically, this approach has facilitated the development of a number of important applications in the medical training field, specially as a way to objectively evaluate surgical tasks of novices compared to an expert surgeon. In this p...
The ability to accurately recognize elementary surgical gestures is a stepping stone to automated surgical assessment and surgical training. In this p...
With the advent of robot-assisted surgery, there has been a paradigm shift in medical technology for minimally invasive surgery. However, it is very c...
Acute respiratory distress syndrome (ARDS) is a serious threat to human life and health disease, with acute onset and high mortality. The current diag...
Highly accurate detection of the intracranial hemorrhage without delay is a critical clinical issue for the diagnostic decision and treatment in an em...
To compare results for radiological prediction of pathological invasiveness in lung adenocarcinoma between radiologists and a deep learning (DL) syste...
In this paper, we present the new personalized 3D printed soft robotic hand for providing rehabilitation training and daily activities assistance to s...
Proprioception, the ability to sense body position and limb movements in space without visual feedback, is one of the key factors in controlling body ...
Mobility impairment is becoming a challenging issue around the world with a rapid increase on aging population. Existing tools of walking assistance f...
This paper presents the development of a pneumatically actuated soft robotic based bilateral therapy system for hand rehabilitation in post-stroke pat...
The research and development of wearable robotic devices has been accelerated by off-board control and actuation systems. While off-board robotic actu...
In an attempt to promote greater functional recovery after spinal cord injury, researchers have begun exploring combinatorial treatments, such as robo...
Hand function is often impaired after neurological injuries such as stroke. In order to design patient-specific rehabilitation, it is essential to qua...
This paper presents a model inversion procedure for a viscoelastic compliant element contained within a rotary series elastic actuator (SEA). Model in...
In robotic rehabilitation, knowledge of human joint torques is very important to provide reliable data for clinical assessment and to provide feedback...
One of the main challenges in robotic neuroreha-bilitation is to understand how robots should physically interact with trainees to optimize motor lean...