Artificial intelligence and surgical education: a systematic scoping review of interventions
OBJECTIVE To synthesize peer-reviewed evidence related to the use of artificial intelligence
(AI) in surgical education DESIGN We conducted and reported a scoping review according …
(AI) in surgical education DESIGN We conducted and reported a scoping review according …
Technical skill assessment in minimally invasive surgery using artificial intelligence: a systematic review
Background Technical skill assessment in surgery relies on expert opinion. Therefore, it is
time-consuming, costly, and often lacks objectivity. Analysis of intraoperative data by artificial …
time-consuming, costly, and often lacks objectivity. Analysis of intraoperative data by artificial …
Towards unified surgical skill assessment
Surgical skills have a great influence on surgical safety and patients' well-being. Traditional
assessment of surgical skills involves strenuous manual efforts, which lacks efficiency and …
assessment of surgical skills involves strenuous manual efforts, which lacks efficiency and …
Balanced k-star: An explainable machine learning method for internet-of-things-enabled predictive maintenance in manufacturing
B Ghasemkhani, O Aktas, D Birant - Machines, 2023 - mdpi.com
Predictive maintenance (PdM) combines the Internet of Things (IoT) technologies with
machine learning (ML) to predict probable failures, which leads to the necessity of …
machine learning (ML) to predict probable failures, which leads to the necessity of …
Deep neural networks for the assessment of surgical skills: A systematic review
Surgical training in medical school residency programs has followed the apprenticeship
model. The learning and assessment process is inherently subjective and time-consuming …
model. The learning and assessment process is inherently subjective and time-consuming …
Assistive robotic exoskeleton using recurrent neural networks for decision taking for the robust trajectory tracking
R Fuentes-Alvarez, JH Hernandez… - Expert Systems with …, 2022 - Elsevier
The development of exoskeletons has contributed to the rehabilitation of the population with
different degrees of disability. These devices contemplate some feedback signals for their …
different degrees of disability. These devices contemplate some feedback signals for their …
Exploring the roles of artificial intelligence in surgical education: a scoping review
Background Technology-enhanced teaching and learning, including Artificial Intelligence
(AI) applications, has started to evolve in surgical education. Hence, the purpose of this …
(AI) applications, has started to evolve in surgical education. Hence, the purpose of this …
Objective evaluation of laparoscopic surgical skills in wet lab training based on motion analysis and machine learning
Background Our aim was to build a skill assessment system, providing objective feedback to
trainees based on the motion metrics of laparoscopic surgical instruments. Methods …
trainees based on the motion metrics of laparoscopic surgical instruments. Methods …
Semi-supervised K-Star (SSS): A machine learning method with a novel holo-training approach
KU Birant - Entropy, 2023 - mdpi.com
As one of the entropy-based methods, the k-Star algorithm benefits from information theory
in computing the distances between data instances during the classification task. k-Star is a …
in computing the distances between data instances during the classification task. k-Star is a …
Automatic assessment of laparoscopic surgical skill competence based on motion metrics
The purpose of this study was to characterize the motion features of surgical devices
associated with laparoscopic surgical competency and build an automatic skill-credential …
associated with laparoscopic surgical competency and build an automatic skill-credential …