Artificial intelligence for strengthening healthcare systems in low-and middle-income countries: a systematic sco** review

T Ciecierski-Holmes, R Singh, M Axt, S Brenner… - npj Digital …, 2022 - nature.com
In low-and middle-income countries (LMICs), AI has been promoted as a potential means of
strengthening healthcare systems by a growing number of publications. We aimed to …

Artificial intelligence in radiotherapy treatment planning: present and future

C Wang, X Zhu, JC Hong… - Technology in cancer …, 2019 - journals.sagepub.com
Treatment planning is an essential step of the radiotherapy workflow. It has become more
sophisticated over the past couple of decades with the help of computer science, enabling …

Automated contouring and planning in radiation therapy: what is 'clinically acceptable'?

H Baroudi, KK Brock, W Cao, X Chen, C Chung… - Diagnostics, 2023 - mdpi.com
Developers and users of artificial-intelligence-based tools for automatic contouring and
treatment planning in radiotherapy are expected to assess clinical acceptability of these …

Artificial intelligence: resha** the practice of radiological sciences in the 21st century

I El Naqa, MA Haider, ML Giger… - The British journal of …, 2020 - academic.oup.com
Advances in computing hardware and software platforms have led to the recent resurgence
in artificial intelligence (AI) touching almost every aspect of our daily lives by its capability for …

[HTML][HTML] Adaptive radiotherapy: moving into the future

KK Brock - Seminars in radiation oncology, 2019 - ncbi.nlm.nih.gov
Adaptive radiotherapy has been an advancing topic of research since the late 1990s when
Yan et al published the first article discussing the mathematical concept and potential …

A framework for cervical cancer elimination in low-and-middle-income countries: a sco** review and roadmap for interventions and research priorities

MB Shin, G Liu, N Mugo, PJ Garcia, DW Rao… - Frontiers in public …, 2021 - frontiersin.org
The World Health Organization announced an ambitious call for cervical cancer elimination
worldwide. With existing prevention and treatment modalities, cervical cancer elimination is …

[HTML][HTML] Generating high-quality lymph node clinical target volumes for head and neck cancer radiation therapy using a fully automated deep learning-based …

CE Cardenas, BM Beadle, AS Garden… - International Journal of …, 2021 - Elsevier
Purpose To develop a deep learning model that generates consistent, high-quality lymph
node clinical target volumes (CTV) contours for head and neck cancer (HNC) patients, as an …

Harnessing progress in radiotherapy for global cancer control

DA Jaffray, F Knaul, M Baumann, M Gospodarowicz - Nature Cancer, 2023 - nature.com
The pace of technological innovation over the past three decades has transformed the field
of radiotherapy into one of the most technologically intense disciplines in medicine …

Automatic contouring system for cervical cancer using convolutional neural networks

DJ Rhee, A Jhingran, B Rigaud, T Netherton… - Medical …, 2020 - Wiley Online Library
Purpose To develop a tool for the automatic contouring of clinical treatment volumes (CTVs)
and normal tissues for radiotherapy treatment planning in cervical cancer patients. Methods …

[HTML][HTML] The impact of artificial intelligence on health equity in oncology: sco** review

P Istasy, WS Lee, A Iansavichene, R Upshur… - Journal of medical …, 2022 - jmir.org
Background The field of oncology is at the forefront of advances in artificial intelligence (AI)
in health care, providing an opportunity to examine the early integration of these …