A review on deep learning in minimally invasive surgery

I Rivas-Blanco, CJ Perez-Del-Pulgar… - IEEE …, 2021 - ieeexplore.ieee.org
In the last five years, deep learning has attracted great interest in computer-assisted systems
for Minimally Invasive Surgery. The straightforward accessibility to images in surgical …

[HTML][HTML] Artificial intelligence in radiology: Are Saudi residents ready, prepared, and knowledgeable?

MA Khafaji, MA Safhi, RH Albadawi… - Saudi Medical …, 2022 - ncbi.nlm.nih.gov
Objectives: To assess the knowledge and perception of artificial intelligence (AI) among
radiology residents across Saudi Arabia and assess their interest in learning about AI …

Next-generation robotics in gastrointestinal surgery

JM Kinross, SE Mason, G Mylonas… - Nature Reviews …, 2020 - nature.com
The global numbers of robotic gastrointestinal surgeries are increasing. However, the
evidence base for robotic gastrointestinal surgery does not yet support its widespread …

Deep neural networks for the assessment of surgical skills: A systematic review

E Yanik, X Intes, U Kruger, P Yan… - The Journal of …, 2022 - journals.sagepub.com
Surgical training in medical school residency programs has followed the apprenticeship
model. The learning and assessment process is inherently subjective and time-consuming …

Analytical and deep learning approaches for solving the inverse kinematic problem of a high degrees of freedom robotic arm

N Wagaa, H Kallel, N Mellouli - Engineering Applications of Artificial …, 2023 - Elsevier
Inverse kinematics is the basis for controlling the motion of robotic manipulators. It defines
the required joint variables for the robotic end-effector accurately reach the desired location …

Artificial intelligence in pediatric surgery

AY Tsai, SR Carter, AC Greene - Seminars in pediatric surgery, 2024 - Elsevier
Artificial intelligence (AI) is rapidly changing the landscape of medicine and is already being
utilized in conjunction with medical diagnostics and imaging analysis. We hereby explore AI …

Deep Q-learning in robotics: Improvement of accuracy and repeatability

M Sumanas, A Petronis, V Bucinskas, A Dzedzickis… - Sensors, 2022 - mdpi.com
Recent industrial robotics covers a broad part of the manufacturing spectrum and other
human everyday life applications; the performance of these devices has become …

Robot-assisted minimally invasive surgical skill assessment—Manual and automated platforms

R Nagyné Elek, T Haidegger - Acta Polytechnica Hungarica, 2019 - real.mtak.hu
The practice of Robot-Assisted Minimally Invasive Surgery (RAMIS) requires extensive skills
from the human surgeons due to the special input device control, such as moving the …

A scoping review of artificial intelligence in medical education: BEME Guide No. 84

M Gordon, M Daniel, A Ajiboye, H Uraiby, NY Xu… - Medical …, 2024 - Taylor & Francis
Abstract Background Artificial Intelligence (AI) is rapidly transforming healthcare, and there
is a critical need for a nuanced understanding of how AI is reshaping teaching, learning, and …

[HTML][HTML] Artificial intelligence in surgery and its potential for gastric cancer

T Kinoshita, M Komatsu - Journal of Gastric Cancer, 2023 - ncbi.nlm.nih.gov
Artificial intelligence (AI) has made significant progress in recent years, and many medical
fields are attempting to introduce AI technology into clinical practice. Currently, much …