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 …

[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, S Carter, Q 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 …

[HTML][HTML] Understanding the factors influencing acceptability of AI in medical imaging domains among healthcare professionals: A scoping review

D Hua, N Petrina, N Young, JG Cho, SK Poon - Artificial Intelligence in …, 2023 - Elsevier
Background Artificial intelligence (AI) technology has the potential to transform medical
practice within the medical imaging industry and materially improve productivity and patient …

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 …

Inclusion of clinicians in the development and evaluation of clinical artificial intelligence tools: a systematic literature review

S Tulk Jesso, A Kelliher, H Sanghavi, T Martin… - Frontiers in …, 2022 - frontiersin.org
The application of machine learning (ML) and artificial intelligence (AI) in healthcare
domains has received much attention in recent years, yet significant questions remain about …

[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 …

The promise of data science for health research in Africa

CA Adebamowo, S Callier, S Akintola… - Nature …, 2023 - nature.com
Data science health research promises tremendous benefits for African populations, but its
implementation is fraught with substantial ethical governance risks that could thwart the …

[HTML][HTML] Artificial intelligence in medicine: text mining of health care workers' Opinions

P Nitiéma - Journal of medical Internet research, 2023 - jmir.org
Background Artificial intelligence (AI) is being increasingly adopted in the health care
industry for administrative tasks, patient care operations, and medical research. Objective …

[HTML][HTML] Radiographers' knowledge, attitudes and expectations of artificial intelligence in medical imaging

S Coakley, R Young, N Moore, A England, A O'Mahony… - Radiography, 2022 - Elsevier
Introduction Artificial intelligence (AI) is increasingly utilised in medical imaging systems and
processes, and radiographers must embrace this advancement. This study aimed to …