Research graph
References from Implementing artificial intelligence in chest diagnostics for lung disease: A mixed-methods evaluation. Local targets link to admitted publications; unresolved targets remain external evidence.
Implementation of artificial intelligence in thoracic imaging-a what, how, and why guide from the European Society of Thoracic Imaging (ESTI)
10.1007/s00330-023-09409-2 · 2023 · External reference
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2018 · External reference
The impact of artificial intelligence on health equity in oncology: scoping review
10.2196/39748 · 2022 · External reference
Artificial intelligence and its future potential in lung cancer screening
2020 · External reference
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2023 · External reference
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2019 · External reference
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2023 · External reference
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2024 · External reference
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2024 · External reference
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2024 · External reference
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2024 · External reference
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2024 · External reference
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2023 · External reference
Patients’ perceptions of using artificial intelligence (AI)-based technology to comprehend radiology imaging data
10.1177/14604582211011215 · 2021 · External reference
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2024 · External reference
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2021 · External reference
The value of artificial intelligence in the diagnosis of lung cancer: a systematic review and meta-analysis
10.1371/journal.pone.0273445 · 2023 · External reference
Application of artificial intelligence in lung cancer
10.3390/cancers14061370 · 2022 · External reference
Addressing fairness, bias, and appropriate use of artificial intelligence and machine learning in global health
10.3389/frai.2020.561802 · 2020 · External reference
Patient perspectives and priorities regarding artificial intelligence in radiology: opportunities for patient-centered radiology
10.1016/j.jacr.2020.01.007 · 2020 · External reference
Attitudes and perception of artificial intelligence in healthcare: a cross-sectional survey among patients
2022 · External reference
How do patients perceive the AI-radiologists interaction? Results of a survey on 2119 responders
10.1016/j.ejrad.2023.110917 · 2023 · External reference
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2023 · External reference
Artificial Intelligence for diagnostics in radiology practice: a rapid systematic scoping review
10.1016/j.eclinm.2025.103228 · 2025 · External reference
Preferred reporting items for systematic reviews and meta-analyses: the PRISMA statement
10.1371/journal.pmed.1000097 · 2009 · External reference
Beyond adoption: a new framework for theorizing and evaluating nonadoption, abandonment, and challenges to the scale-up, spread, and sustainability of health and care technologies
10.2196/jmir.8775 · 2017 · External reference
Early experiences of integrating an artificial intelligence-based diagnostic decision support system into radiology settings: a qualitative study
2023 · External reference
UK reporting radiographers’ perceptions of AI in radiographic image interpretation – current perspectives and future developments
10.1016/j.radi.2022.06.006 · 2022 · External reference
Singapore radiographers’ perceptions and expectations of artificial intelligence – a qualitative study
10.1016/j.jmir.2022.08.005 · 2022 · External reference
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2017 · External reference
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2006 · External reference
Using thematic analysis in psychology
10.1191/1478088706qp063oa · 2006 · External reference
Carrying out rapid qualitative research during a pandemic: emerging lessons from COVID-19
10.1177/1049732320951526 · 2020 · External reference
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2024 · External reference
Implementation of artificial intelligence (AI) applications in radiology: hindering and facilitating factors
10.1007/s00330-020-06946-y · 2020 · External reference
A holistic approach to implementing artificial intelligence in radiology
10.1186/s13244-023-01586-4 · 2024 · External reference
Radiologists’ perspectives on the workflow integration of an artificial intelligence-based computer-aided detection system: a qualitative study
10.1016/j.apergo.2024.104243 · 2024 · External reference
Facilitators, barriers and considerations for the implementation of healthcare innovation: a qualitative rapid systematic review
10.1111/hsc.13578 · 2022 · External reference
The effectiveness of champions in implementing innovations in health care: a systematic review
10.1186/s43058-022-00315-0 · 2022 · External reference
Characterizing attributes of innovation of technologies for healthcare: a systematic review
10.1080/13696998.2022.2140591 · 2022 · External reference
Change and innovation in healthcare: findings from literature
10.2147/ceor.s301169 · 2021 · External reference
The NASSS (Non-Adoption, Abandonment, Scale-Up, Spread and Sustainability) framework use over time: a scoping review
10.1371/journal.pdig.0000418 · 2025 · External reference
