Deep learning based image processing for robot assisted surgery: a systematic literature survey
The recent advancements in the surging field of Deep Learning (DL) have revolutionized
every sphere of life, and the healthcare domain is no exception. The enormous success of …
every sphere of life, and the healthcare domain is no exception. The enormous success of …
Incidence and trends of decision regret following elective hernia repair
Background One approach to evaluate decision-making is using the concept of decision
regret, which measures patient remorse after a healthcare decision. This is particularly …
regret, which measures patient remorse after a healthcare decision. This is particularly …
[HTML][HTML] Robotic-assisted surgery for prostatectomy–does the diffusion of robotic systems contribute to treatment centralization and influence patients' hospital choice?
Background Between 2008 and 2018, the share of robotic-assisted surgeries (RAS) for
radical prostatectomies (RPEs) has increased from 3 to 46% in Germany. Firstly, we …
radical prostatectomies (RPEs) has increased from 3 to 46% in Germany. Firstly, we …
Evidence-based analysis of online consumer information about prostate artery embolization for benign prostatic hyperplasia
MM Huang, JS Winoker, BR Matlaga… - Prostate Cancer and …, 2021 - nature.com
Background Clinical guidelines have conflicting recommendations on the role of prostate
artery embolization (PAE), a novel interventional radiology technique used to treat benign …
artery embolization (PAE), a novel interventional radiology technique used to treat benign …
[HTML][HTML] Robot-assisted pelvic floor reconstructive surgery: an international Delphi study of expert users
T Simoncini, A Panattoni, M Aktas, J Ampe… - Surgical …, 2023 - Springer
Background Robotic surgery has gained popularity for the reconstruction of pelvic floor
defects. Nonetheless, there is no evidence that robot-assisted reconstructive surgery is …
defects. Nonetheless, there is no evidence that robot-assisted reconstructive surgery is …
Adherence by orthopaedic surgeons to AHPRA and Australian Orthopaedic Association advertising guidelines
HY Ryan, GY Sun, M Monuja… - Medical Journal of …, 2022 - Wiley Online Library
Objectives To examine adherence to Australian Health Practitioner Regulation Agency
(AHPRA) and Australian Orthopaedic Association (AOA) advertising guidelines by AOA …
(AHPRA) and Australian Orthopaedic Association (AOA) advertising guidelines by AOA …
Applications of robotics in gynecological surgery
C Comparetto, F Borruto - Design and Control Advances in Robotics, 2023 - igi-global.com
Robotic-assisted surgery is a branch of engineering that develops robotic machines that
allow the operator to perform surgery by maneuvering, from a distance, a robot that is not …
allow the operator to perform surgery by maneuvering, from a distance, a robot that is not …
Comparison of perioperative outcomes for radical nephrectomy based on surgical approach for masses greater than 10 cm
LW Grimaud, FV Chen, J Chang, A Ziogas… - Journal of …, 2021 - liebertpub.com
Introduction and Objective: Robot-assisted radical nephrectomy (RRN) is increasingly
utilized as an alternative to laparoscopic radical nephrectomy (LRN), but there are concerns …
utilized as an alternative to laparoscopic radical nephrectomy (LRN), but there are concerns …
Population demographics in geographic proximity to hospitals with robotic platforms do not correlate with disparities in access to robotic surgery
K Bingmer, M Kazimi, V Wang, A Ofshteyn… - Surgical …, 2021 - Springer
Background Disparities in access to robotic surgery have been shown on the local, regional,
and national level. This study aims to see if the location of hospitals with robotic platforms …
and national level. This study aims to see if the location of hospitals with robotic platforms …
Explainable deep learning for medical image processing: computer-aided diagnosis and robot-assisted surgery.
SM Hussain - 2023 - tesidottorato.depositolegale.it
The recent advancements in the surging field of Deep Learning (DL) have revolutionized
every sphere of life, and the healthcare domain is no exception. The enormous success of …
every sphere of life, and the healthcare domain is no exception. The enormous success of …