[HTML][HTML] A bibliometric analysis of technology in sustainable healthcare: Emerging trends and future directions

IK Nti, AF Adekoya, BA Weyori, F Keyeremeh - Decision Analytics Journal, 2023 - Elsevier
Technology application in healthcare is a recent field devoted to sustainability in the
healthcare industry. However, research in this sector has grown at a rapid pace. While this …

Recent applications of artificial intelligence in radiotherapy: where we are and beyond

M Santoro, S Strolin, G Paolani, G Della Gala… - Applied Sciences, 2022 - mdpi.com
Featured Application Computational models based on artificial intelligence (AI) variants
have been developed and applied successfully in many areas, both inside and outside of …

Varian ethos online adaptive radiotherapy for prostate cancer: Early results of contouring accuracy, treatment plan quality, and treatment time

M Byrne, B Archibald‐Heeren, Y Hu… - Journal of applied …, 2022 - Wiley Online Library
Abstract The Varian Ethos system allows for online adaptive treatments through the
utilization of artificial intelligence (AI) and deformable image registration which automates …

Develo** an AI-assisted educational chatbot for radiotherapy using the IBM Watson assistant platform

JCL Chow, V Wong, L Sanders, K Li - Healthcare, 2023 - mdpi.com
Objectives: This study aims to make radiotherapy knowledge regarding healthcare
accessible to the general public by develo** an AI-powered chatbot. The interactive …

Automation and artificial intelligence in radiation therapy treatment planning

S Jones, K Thompson, B Porter… - Journal of Medical …, 2024 - Wiley Online Library
Automation and artificial intelligence (AI) is already possible for many radiation therapy
planning and treatment processes with the aim of improving workflows and increasing …

[HTML][HTML] Evaluation of auto-contouring and dose distributions for online adaptive radiation therapy of patients with locally advanced lung cancers

W Mao, J Riess, J Kim, S Vance, IJ Chetty… - Practical Radiation …, 2022 - Elsevier
Purpose Retrospective studies were performed to evaluate the accuracy of automatically
mapped structures and dosimetric consequences of daily online adaptive radiation therapy …

[HTML][HTML] Same-day adaptive palliative radiotherapy without prior CT simulation: Early outcomes in the FAST-METS study

KJ Nelissen, E Versteijne, S Senan, B Rijksen… - Radiotherapy and …, 2023 - Elsevier
Abstract Background and Purpose Standard palliative radiotherapy workflows involve
waiting times or multiple clinic visits. We developed and implemented a rapid palliative …

Assessment of efficacy in automated plan generation for Varian Ethos intelligent optimization engine

S Pokharel, A Pacheco, S Tanner - Journal of Applied Clinical …, 2022 - Wiley Online Library
Varian Ethos, a new treatment platform, is capable of automatically generating treatment
plans for initial planning and for online, adaptive planning, using an intelligent optimization …

Quantum deep reinforcement learning for clinical decision support in oncology: application to adaptive radiotherapy

D Niraula, J Jamaluddin, MM Matuszak, RKT Haken… - Scientific reports, 2021 - nature.com
Subtle differences in a patient's genetics and physiology may alter radiotherapy (RT)
treatment responses, motivating the need for a more personalized treatment plan …

[HTML][HTML] Using failure mode and effects analysis to evaluate risk in the clinical adoption of automated contouring and treatment planning tools

KA Nealon, PA Balter, RJ Douglas, DK Fullen… - Practical radiation …, 2022 - Elsevier
Purpose In this study, we applied the failure mode and effects analysis (FMEA) approach to
an automated radiation therapy contouring and treatment planning tool to assess, and …