The current and future state of AI interpretation of medical images
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 …
Medicine Skip to main content The New England Journal of Medicine homepage Advanced …
[HTML][HTML] Understanding the factors influencing acceptability of AI in medical imaging domains among healthcare professionals: A sco** review
Background Artificial intelligence (AI) technology has the potential to transform medical
practice within the medical imaging industry and materially improve productivity and patient …
practice within the medical imaging industry and materially improve productivity and patient …
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 …
and medical students, but few have systematically assessed their attitudes. We investigated …
Knowledge, attitude, and perception of Arab medical students towards artificial intelligence in medicine and radiology: A multi-national cross-sectional study
Objectives We aimed to assess undergraduate medical students' knowledge, attitude, and
perception regarding artificial intelligence (AI) in medicine. Methods A multi-national, multi …
perception regarding artificial intelligence (AI) in medicine. Methods A multi-national, multi …
[HTML][HTML] Do people favor artificial intelligence over physicians? A survey among the general population and their view on artificial intelligence in medicine
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 …
medicine with specific emphasis on 3 areas that have experienced major progress in AI …
Orchestrating explainable artificial intelligence for multimodal and longitudinal data in medical imaging
Explainable artificial intelligence (XAI) has experienced a vast increase in recognition over
the last few years. While the technical developments are manifold, less focus has been …
the last few years. While the technical developments are manifold, less focus has been …
[HTML][HTML] Towards the adoption of quantitative computed tomography in the management of interstitial lung disease
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 …
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
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 …
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
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 …
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
Purpose There is a growing body of diagnostic performance studies for emergency
radiology-related artificial intelligence/machine learning (AI/ML) tools; however, little is …
radiology-related artificial intelligence/machine learning (AI/ML) tools; however, little is …