The current and future state of AI interpretation of medical images

P Rajpurkar, MP Lungren - New England Journal of Medicine, 2023 - Mass Medical Soc
The Current and Future State of AI Interpretation of Medical Images | New England Journal of
Medicine Skip to main content The New England Journal of Medicine homepage Advanced …

Acceptance of clinical artificial intelligence among physicians and medical students: a systematic review with cross-sectional survey

M Chen, B Zhang, Z Cai, S Seery, MJ Gonzalez… - Frontiers in …, 2022 - frontiersin.org
Background Artificial intelligence (AI) needs to be accepted and understood by physicians
and medical students, but few have systematically assessed their attitudes. We investigated …

[HTML][HTML] Do people favor artificial intelligence over physicians? A survey among the general population and their view on artificial intelligence in medicine

D Yakar, YP Ongena, TC Kwee, M Haan - Value in Health, 2022 - Elsevier
Objectives To investigate the general population's view on artificial intelligence (AI) in
medicine with specific emphasis on 3 areas that have experienced major progress in AI …

[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 …

[HTML][HTML] Towards the adoption of quantitative computed tomography in the management of interstitial lung disease

SLF Walsh, J De Backer, H Prosch… - European …, 2024 - Eur Respiratory Soc
The shortcomings of qualitative visual assessment have led to the development of computer-
based tools to characterise and quantify disease on high-resolution computed tomography …

Clinical use of artificial intelligence products for radiology in the Netherlands between 2020 and 2022

KG van Leeuwen, M de Rooij, S Schalekamp… - European …, 2024 - Springer
Objectives To map the clinical use of CE-marked artificial intelligence (AI)–based software in
radiology departments in the Netherlands (n= 69) between 2020 and 2022. Materials and …

Systematic review of radiologist and medical student attitudes on the role and impact of AI in radiology

SM Santomartino, HY Paul - Academic radiology, 2022 - Elsevier
Rationale and Objectives The introduction of AI in radiology has prompted both excitement
and hesitation within the field. We performed a systematic review of original studies …

A survey of ASER members on artificial intelligence in emergency radiology: trends, perceptions, and expectations

A Agrawal, GD Khatri, B Khurana, AD Sodickson… - Emergency …, 2023 - Springer
Purpose There is a growing body of diagnostic performance studies for emergency
radiology-related artificial intelligence/machine learning (AI/ML) tools; however, little is …

Artificial intelligence/machine learning education in radiology: multi-institutional survey of radiology residents in the United States

NV Salastekar, C Maxfield, TN Hanna, EA Krupinski… - Academic …, 2023 - Elsevier
Rationale and Objectives To evaluate radiology residents' perspectives regarding inclusion
of artificial intelligence/machine learning (AI/ML) education in the residency curriculum …

Knowledge, attitude, and perception of Arab medical students towards artificial intelligence in medicine and radiology: A multi-national cross-sectional study

AH Allam, NK Eltewacy, YJ Alabdallat, TA Owais… - European …, 2023 - Springer
Objectives We aimed to assess undergraduate medical students' knowledge, attitude, and
perception regarding artificial intelligence (AI) in medicine. Methods A multi-national, multi …