Latest AI and machine learning research in surgery for healthcare professionals.
Continual learning, a widespread ability in people and animals, aims to learn and acquire new knowledge and skills continuously. Catastrophic forgetting usually occurs in continual learning when an agent attempts to learn different tasks sequentially without storing or accessing previous task information. Unfortunately, current learning systems, e.g., neural networks, are prone to deviate the weig...
We address the problem of determining from laboratory experiments the data necessary for a proper modeling of drug delivery and efficacy in anticancer therapy. There is an inherent difficulty in extracting the necessary parameters, because the experiments often yield an insufficient quantity of information. To overcome this difficulty, we propose to combine real experiments, numerical simulation, ...
Soft robotic devices can be used to demonstrate mechanics, robotics, and health care devices in classrooms. The complexity of soft robotic actuator fa...
BACKGROUND: Robot-assisted laparoscopic pyeloplasty (RALP) is a commonly performed procedure in children, but its actual cost implications on the heal...
MOTIVATION: Brain or central nervous system cancer is the tenth leading cause of death in men and women. Even though brain tumour is not considered as...
BACKGROUND: Thyroidectomy is one of the most commonly performed surgical procedures. The region of the neck has a very complex structural organization...
BACKGROUND: The outcomes of paraaortic lymphadenectomy were compared for the treatment of gynecological malignancies to identify the most appropriate ...
Studies on improving the adaptability of upper limb rehabilitation training do not often consider the implications of muscle fatigue sufficiently. In ...
Acute kidney injury (AKI) after partial nephrectomy is attributed to parenchymal reduction and ischemia, but the extent of its effect remains unclear...
This study aims to develop a prototype of an autonomous robotic device to assist the locomotion of the elderly in urban environments. Among the achiev...
Research on soft robots and swimming robots has been widely reported and demonstrated. However, none of these soft swimming robots can swim flexibly a...
PURPOSE: Middle ear surgery may benefit from robot-based assistance to hold micro-instruments or an endoscope. However, the surgical gesture performed...
Artificial intelligence (AI) is coming to medicine in a big wave. From making diagnosis in various medical conditions, following the latest advancemen...
BACKGROUND: The da Vinci Single-Port (SP) robot is a novel platform designed to facilitate single-incision robotic surgery (rSILS). The objective of t...
Since the beginning of the history of transplants, numerous difficulties have been faced in the effective implementation of this therapeutic practice,...
Estimating the forces acting between instruments and tissue is a challenging problem for robot-assisted minimally-invasive surgery. Recently, numerous...
BACKGROUND AND OBJECTIVE: In lung cancer, the determination of mediastinal lymph node (MLN) status as benign or malignant influence treatment planning...
Most post-stroke patients experience upper limb functionality challenges. Emergent therapies using upper limb-based robot machines present opportuniti...