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Diagnostic radiology and its future: what do clinicians need and think?
Eur Radiol. 2023 Dec;33(12):9401-9410. doi: 10.1007/s00330-023-09897-2. Epub 2023 Jul 12.
2
Stakeholders' perspectives on the future of artificial intelligence in radiology: a scoping review.
Eur Radiol. 2022 Mar;32(3):1477-1495. doi: 10.1007/s00330-021-08214-z. Epub 2021 Sep 21.
3
Medical students' attitude towards artificial intelligence: a multicentre survey.
Eur Radiol. 2019 Apr;29(4):1640-1646. doi: 10.1007/s00330-018-5601-1. Epub 2018 Jul 6.
4
How to prepare for a bright future of radiology in Europe.
Insights Imaging. 2023 Oct 10;14(1):168. doi: 10.1186/s13244-023-01525-3.
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The virtual reference radiologist: comprehensive AI assistance for clinical image reading and interpretation.
Eur Radiol. 2024 Oct;34(10):6652-6666. doi: 10.1007/s00330-024-10727-2. Epub 2024 Apr 16.
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[Artificial intelligence (AI) in radiology? : Do we need as many radiologists in the future?].
Urologe A. 2022 Apr;61(4):392-399. doi: 10.1007/s00120-022-01768-w. Epub 2022 Mar 11.
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Impact of the rise of artificial intelligence in radiology: What do radiologists think?
Diagn Interv Imaging. 2019 Jun;100(6):327-336. doi: 10.1016/j.diii.2019.03.015. Epub 2019 May 6.

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Evolving and Novel Applications of Artificial Intelligence in Cancer Imaging.
Cancers (Basel). 2025 Apr 30;17(9):1510. doi: 10.3390/cancers17091510.
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CJEM debate: clinical decision rules-thinking beyond the algorithm.
CJEM. 2025 Mar;27(3):165-169. doi: 10.1007/s43678-025-00870-0. Epub 2025 Feb 3.
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Increased individual workload for nuclear medicine physicians over the past years: 2008-2023 data from The Netherlands.
Ann Nucl Med. 2025 Mar;39(3):273-277. doi: 10.1007/s12149-024-01995-5. Epub 2024 Nov 10.
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Drug provocation tests (DPTs) of contrast media: Useful or not useful? - A narrative review.
World Allergy Organ J. 2024 Aug 20;17(9):100946. doi: 10.1016/j.waojou.2024.100946. eCollection 2024 Sep.
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Evolving and Novel Applications of Artificial Intelligence in Thoracic Imaging.
Diagnostics (Basel). 2024 Jul 8;14(13):1456. doi: 10.3390/diagnostics14131456.
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How to prepare for a bright future of radiology in Europe.
Insights Imaging. 2023 Oct 10;14(1):168. doi: 10.1186/s13244-023-01525-3.

本文引用的文献

1
[Artificial intelligence (AI) in radiology? : Do we need as many radiologists in the future?].
Urologe A. 2022 Apr;61(4):392-399. doi: 10.1007/s00120-022-01768-w. Epub 2022 Mar 11.
2
Should we replace radiologists with deep learning? Pigeons, error and trust in medical AI.
Bioethics. 2022 Feb;36(2):121-133. doi: 10.1111/bioe.12959. Epub 2021 Oct 18.
3
Interventions to reduce low-value imaging - a systematic review of interventions and outcomes.
BMC Health Serv Res. 2021 Sep 18;21(1):983. doi: 10.1186/s12913-021-07004-z.
4
Supporting Value-Based Health Care - Aligning Financial and Legal Accountability.
N Engl J Med. 2021 Sep 9;385(11):965-967. doi: 10.1056/NEJMp2105625. Epub 2021 Sep 4.
5
Radiology in the Era of Value-Based Healthcare: A Multi Society Expert Statement From the ACR, CAR, ESR, IS3R, RANZCR, and RSNA.
J Am Coll Radiol. 2021 Jun;18(6):877-883. doi: 10.1016/j.jacr.2020.12.003. Epub 2020 Dec 21.
6
Clinicians' Behavior Toward Radiology Reports: A Cross-Sectional Study.
Cureus. 2020 Nov 5;12(11):e11336. doi: 10.7759/cureus.11336.
7
Workload for radiologists during on-call hours: dramatic increase in the past 15 years.
Insights Imaging. 2020 Nov 23;11(1):121. doi: 10.1186/s13244-020-00925-z.
8
Assessing the future medical cost burden for the European health systems under alternative exposure-to-risks scenarios.
PLoS One. 2020 Sep 11;15(9):e0238565. doi: 10.1371/journal.pone.0238565. eCollection 2020.
9
US Health Care Spending by Payer and Health Condition, 1996-2016.
JAMA. 2020 Mar 3;323(9):863-884. doi: 10.1001/jama.2020.0734.
10
An Intelligent Future for Medical Imaging: A Market Outlook on Artificial Intelligence for Medical Imaging.
J Am Coll Radiol. 2020 Jan;17(1 Pt B):165-170. doi: 10.1016/j.jacr.2019.07.019.

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