A survey of cyber-physical systems from a game-theoretic perspective

W Tushar, C Yuen, TK Saha, S Nizami, MR Alam… - IEEE …, 2023 - ieeexplore.ieee.org
With the emergence of the Internet-of-Things (IoT), artificial intelligence, and communication
technologies, cyber-physical systems (CPS) have revolutionized the engineering paradigm …

[图书][B] Tactile internet: With human-in-the-Loop

FHP Fitzek, SC Li, S Speidel, T Strufe, M Simsek… - 2021 - books.google.com
Tactile Internet with Human-in-the-Loop describes the change from the current Internet,
which focuses on the democratization of information independent of location or time, to the …

Artificial intelligence and surgical education: a systematic scoping review of interventions

A Kirubarajan, D Young, S Khan, N Crasto… - Journal of Surgical …, 2022 - Elsevier
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 …

Computer vision in the surgical operating room

F Chadebecq, F Vasconcelos, E Mazomenos… - Visceral …, 2020 - karger.com
Background: Multiple types of surgical cameras are used in modern surgical practice and
provide a rich visual signal that is used by surgeons to visualize the clinical site and make …

Technical skill assessment in minimally invasive surgery using artificial intelligence: a systematic review

R Pedrett, P Mascagni, G Beldi, N Padoy… - Surgical endoscopy, 2023 - Springer
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 …

Review of advanced medical telerobots

S Mehrdad, F Liu, MT Pham, A Lelevé, SF Atashzar - Applied Sciences, 2020 - mdpi.com
The advent of telerobotic systems has revolutionized various aspects of the industry and
human life. This technology is designed to augment human sensorimotor capabilities to …

Surgical skill levels: Classification and analysis using deep neural network model and motion signals

XA Nguyen, D Ljuhar, M Pacilli, RM Nataraja… - Computer methods and …, 2019 - Elsevier
Abstract Background and Objectives Currently, the assessment of surgical skills relies
primarily on the observations of expert surgeons. This may be time-consuming, non …

The role of data science and machine learning in Health Professions Education: practical applications, theoretical contributions, and epistemic beliefs

MG Tolsgaard, CK Boscardin, YS Park… - Advances in Health …, 2020 - Springer
Data science is an inter-disciplinary field that uses computer-based algorithms and methods
to gain insights from large and often complex datasets. Data science, which includes …

Machine learning in perioperative medicine: a systematic review

V Bellini, M Valente, G Bertorelli, B Pifferi… - Journal of Anesthesia …, 2022 - Springer
Background Risk stratification plays a central role in anesthetic evaluation. The use of Big
Data and machine learning (ML) offers considerable advantages for collection and …

Towards near real-time assessment of surgical skills: A comparison of feature extraction techniques

NX Anh, RM Nataraja, S Chauhan - Computer methods and programs in …, 2020 - Elsevier
Abstract Background and Objective Surgical skill assessment aims to objectively evaluate
and provide constructive feedback for trainee surgeons. Conventional methods require …