[HTML][HTML] Multi-stakeholder preferences for the use of artificial intelligence in healthcare: A systematic review and thematic analysis

V Vo, G Chen, YSJ Aquino, SM Carter, QN Do… - Social Science & …, 2023 - Elsevier
Introduction Despite the proliferation of Artificial Intelligence (AI) technology over the last
decade, clinician, patient, and public perceptions of its use in healthcare raise a number of …

Artificial intelligence in medicine: A comprehensive survey of medical doctor's perspectives in Portugal

AR Pedro, MB Dias, L Laranjo, AS Cunha, JV Cordeiro - Plos one, 2023 - journals.plos.org
Artificial Intelligence (AI) is increasingly influential across various sectors, including
healthcare, with the potential to revolutionize clinical practice. However, risks associated …

Beauty is in the AI of the beholder: are we ready for the clinical integration of artificial intelligence in radiography? An exploratory analysis of perceived AI knowledge …

C Rainey, T O'Regan, J Matthew, E Skelton… - Frontiers in digital …, 2021 - frontiersin.org
Introduction: The use of artificial intelligence (AI) in medical imaging and radiotherapy has
been met with both scepticism and excitement. However, clinical integration of AI is already …

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 …

COVID-19 vaccine hesitancy concerns: findings from a Ghana clinical radiography workforce survey

BO Botwe, WK Antwi, JA Adusei, RN Mayeden… - Radiography, 2022 - Elsevier
Introduction Vaccination is a key global strategy to mitigate the clinical impact of the COVID-
19 virus. As part of local efforts to manage the outbreak, the government of Ghana …

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 …

Artificial intelligence in medicine and dentistry

M Vodanović, M Subašić, D Milošević… - … : International journal of …, 2023 - hrcak.srce.hr
Sažetak Introduction: Artificial intelligence has been applied in various fields throughout
history, but its integration into daily life is more recent. The first applications of AI were …

Radiologists' perceptions on AI integration: An in-depth survey study

M Cè, S Ibba, M Cellina, C Tancredi, A Fantesini… - European Journal of …, 2024 - Elsevier
Purpose To assess the perceptions and attitudes of radiologists toward the adoption of
artificial intelligence (AI) in clinical practice. Methods A survey was conducted among …

[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 …

An experimental machine learning study investigating the decision-making process of students and qualified radiographers when interpreting radiographic images

C Rainey, AT Villikudathil, J McConnell… - PLOS Digital …, 2023 - journals.plos.org
AI is becoming more prevalent in healthcare and is predicted to be further integrated into
workflows to ease the pressure on an already stretched service. The National Health Service …