Challenges of implementing artificial intelligence in interventional radiology

S Mazaheri, MF Loya, J Newsome… - Seminars in …, 2021 - thieme-connect.com
Artificial intelligence (AI) and deep learning (DL) remains a hot topic in medicine. DL is a
subcategory of machine learning that takes advantage of multiple layers of interconnected …

Current and emerging artificial intelligence applications for pediatric interventional radiology

SB Desai, A Pareek, MP Lungren - Pediatric Radiology, 2022 - Springer
Artificial intelligence in medicine can help improve the accuracy and efficiency of
diagnostics, selection of therapies and prediction of outcomes. Machine learning describes …

Intraoperative surgery room management: A deep learning perspective

L Tanzi, P Piazzolla, E Vezzetti - The International Journal of …, 2020 - Wiley Online Library
Purpose The current study aimed to systematically review the literature addressing the use
of deep learning (DL) methods in intraoperative surgery applications, focusing on the data …

Touchless interface interaction by hand tracking with a depth camera and a convolutional neural network

A Leong-Hoi, S Murat, T Acker… - Optics, Photonics …, 2020 - spiedigitallibrary.org
In operating rooms (OR), physicians have to work in strict compliance to asepsis rules to not
endanger the health of patients. In the case of laparoscopic mini-invasive surgery, where the …

Grid Localization Method for Spatial Touchless Interaction Applied in Wearable Devices

LT Phan, CJ Song - Advances in Communication, Devices and Networking …, 2020 - Springer
Touchless interaction is one of the fields that attracts a lot of interest from researchers and
users for its conveniences, especially in the field where sterilization should be kept strictly or …