[HTML][HTML] Artificial intelligence (AI) and big data in cancer and precision oncology

Z Dlamini, FZ Francies, R Hull, R Marima - Computational and structural …, 2020 - Elsevier
Artificial intelligence (AI) and machine learning have significantly influenced many facets of
the healthcare sector. Advancement in technology has paved the way for analysis of big …

Artificial Intelligence: Guidance for clinical imaging and therapeutic radiography professionals, a summary by the Society of Radiographers AI working group

C Malamateniou, S McFadden, Y McQuinlan… - Radiography, 2021 - Elsevier
Introduction Artificial intelligence (AI) has started to be increasingly adopted in medical
imaging and radiotherapy clinical practice, however research, education and partnerships …

Transparency and trust in human-AI-interaction: The role of model-agnostic explanations in computer vision-based decision support

C Meske, E Bunde - Artificial Intelligence in HCI: First International …, 2020 - Springer
Abstract Computer Vision, and hence Artificial Intelligence-based extraction of information
from images, has increasingly received attention over the last years, for instance in medical …

The integration of artificial intelligence in medical imaging practice: perspectives of African radiographers

BO Botwe, TN Akudjedu, WK Antwi, P Rockson… - Radiography, 2021 - Elsevier
Introduction The current technological developments in medical imaging are centred largely
on the increasing integration of artificial intelligence (AI) into all equipment modalities. This …

Artificial intelligence in radiography: where are we now and what does the future hold?

C Malamateniou, KM Knapp, M Pergola, N Woznitza… - Radiography, 2021 - Elsevier
Objectives This paper will outline the status and basic principles of artificial intelligence (AI)
in radiography along with some thoughts and suggestions on what the future might hold …

Artificial intelligence in medical imaging practice in Africa: a qualitative content analysis study of radiographers' perspectives

WK Antwi, TN Akudjedu, BO Botwe - Insights into imaging, 2021 - Springer
Purpose Studies have documented the clinical potentials of artificial intelligence (AI) in
medical imaging practice to improving patient care. This study aimed to qualitatively explore …

Black box no more: a scoping review of AI governance frameworks to guide procurement and adoption of AI in medical imaging and radiotherapy in the UK

N Stogiannos, R Malik, A Kumar… - The British Journal of …, 2023 - academic.oup.com
Technological advancements in computer science have started to bring artificial intelligence
(AI) from the bench closer to the bedside. While there is still lots to do and improve, AI …

Improving diagnosis and prognosis of lung cancer using vision transformers: a scoping review

H Ali, F Mohsen, Z Shah - BMC Medical Imaging, 2023 - Springer
Background Vision transformer-based methods are advancing the field of medical artificial
intelligence and cancer imaging, including lung cancer applications. Recently, many …

[HTML][HTML] Knowledge, perceptions, and expectations of Artificial intelligence in radiography practice: A global radiography workforce survey

TN Akudjedu, S Torre, R Khine, D Katsifarakis… - Journal of medical …, 2023 - Elsevier
Abstract Background Artificial Intelligence (AI) technologies have already started impacting
clinical practice across various settings worldwide, including the radiography profession …

Radiographers' perspectives on the emerging integration of artificial intelligence into diagnostic imaging: The Ghana study

BO Botwe, WK Antwi, S Arkoh… - Journal of medical …, 2021 - Wiley Online Library
Introduction The integration of artificial intelligence (AI) systems into medical imaging is
advancing the practice and patient care. It is thought to further revolutionise the entire field in …