Ethics of artificial intelligence in radiology: summary of the joint European and North American multisociety statement

Geis, J. Raymond; Brady, Adrian P.; Wu, Carol C.; Spencer, Jack; Ranschaert, Erik; Jaremko, Jacob L.; Langer, Steve G.; Kitts, Andrea Borondy; Birch, Judy; Shields, William; Genderen, R. van den Hoven van; Kotter, Elmar; Gichoya, Judy Wawira; Cook, Tessa S.; Morgan, Matthew B.; Tang, An; Safdar, Nabile M.; Kohli, Marc D.

doi:10.1186/s13244-019-0785-8

Cited by 87 publications

(94 citation statements)

References 10 publications

(2 reference statements)

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“…Few data are available about the role of artificial intelligence as a radiological decision support system in COVID-19 patients; it is too early to apply this technology in clinical practice as first-line modality. There are in fact many ethical and medico-legal implications in the use of this technology that, even in this emergency situation, do not allow its routine use [23][24][25]. As for any new technology, a clinical validation phase is needed with single or multicenter trials, and standardized approaches for imaging methodology and artificial intelligence algorithms.…”

Section: Discussionmentioning

confidence: 99%

Use of CT and artificial intelligence in suspected or COVID-19 positive patients: statement of the Italian Society of Medical and Interventional Radiology

et al. 2020

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The COVID-19 pandemic started in Italy in February 2020 with an exponential growth that has exceeded the number of cases reported in China. Italian radiology departments found themselves at the forefront in the management of suspected and positive COVID cases, both in diagnosis, in estimating the severity of the disease and in follow-up. In this context SIRM recommends chest X-ray as first-line imaging tool, CT as additional tool that shows typical features of COVID pneumonia, and ultrasound of the lungs as monitoring tool. SIRM recommends, as high priority, to ensure appropriate sanitation procedures on the scan equipment after detecting any suspected or positive COVID-19 patients. In this emergency situation, several expectations have been raised by the scientific community about the role that artificial intelligence can have in improving the diagnosis and treatment of coronavirus infection, and SIRM wishes to deliver clear statements to the radiological community, on the usefulness of artificial intelligence as a radiological decision support system in COVID-19 positive patients.(1) SIRM supports the research on the use of artificial intelligence as a predictive and prognostic decision support system, especially in hospitalized patients and those admitted to intensive care, and welcomes single center of multicenter studies for a clinical validation of the test. (2) SIRM does not support the use of CT with artificial intelligence for screening or as first-line test to diagnose COVID-19. (3) Chest CT with artificial intelligence cannot replace molecular diagnosis tests with nose-pharyngeal swab (rRT-PCR) in suspected for COVID-19 patients.

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Section: Discussionmentioning

confidence: 99%

Use of CT and artificial intelligence in suspected or COVID-19 positive patients: statement of the Italian Society of Medical and Interventional Radiology

et al. 2020

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“…In imaging, the learning around ethics in AI is occurring in parallel to innovation and implementation (6). There is a duty of care to deeply understand the technology, its benefits and its risks.…”

Section: Ethical Challengesmentioning

confidence: 99%

“…There is increased demand for not only richer data (welllabelled) but commercial access to it driven by the potential to significantly improve health and well-being (6). There is a trade-off then between this beneficence and potential maleficence through commercial exploitation of data or doing actual harm to patients or the "common good" (6). The foundation of capability for ANNs is large data sets for training and validation.…”

Section: Ethical Challengesmentioning

confidence: 99%

Ethical principles for the application of artificial intelligence (AI) in nuclear medicine

Currie

Hawk

Rohren

2020

Eur J Nucl Med Mol Imaging

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“…A widely quoted example is the position paper from international radiological organizations on the ethical implications of artificial intelligence in radiology. 12…”

Section: The Journal In the Modern Eramentioning

confidence: 99%

Seventy Years and Counting: The Canadian Association of Radiologists’ Journal

2020

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Canadian radiology has its roots embedded in Montréal and this is no less true of the Canadian Association of Radiologists Journal, now celebrating its 70th Anniversary with the appointment of a new editor. A journal, Les Rayons-X—a monthly illustrated review published in Montréal and edited by Dr Henri Lasnier– preceded it by 40 years. Les Rayons-X was to last only 7 issues. However, Dr Lasnier clearly recognized the importance of a journal to what was then an emerging specialty. By 1950, the Canadian Association of Radiologists became the first specialty society in Canada to publish a scientific journal. We reflect on some facets of the evolution of the journal from a cottage industry to its adoption by a major publishing house and through the hands of 14 editors. In that time, radiology itself has undergone remarkable changes in its technological infrastructure leading to profound changes in the capacity of radiological practitioners and scientists to diagnose and treat disease. These changes themselves impose some constraints on a general radiology journal. The Association has at times faced substantial challenges that led to questions about its ability to sustain a journal in the face of competing priorities. Those challenges will likely recur in the future, not least in the face of other better-resourced journals. As the Canadian Association of Radiologists has evolved into a distinctive voice in Canadian medicine, we argue that a strong case can be made for preserving a platform for Canadian radiology featuring Canadian observations and perspectives, both scientific and “political.”

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Ethics of artificial intelligence in radiology: summary of the joint European and North American multisociety statement

Cited by 87 publications

References 10 publications

Use of CT and artificial intelligence in suspected or COVID-19 positive patients: statement of the Italian Society of Medical and Interventional Radiology

Use of CT and artificial intelligence in suspected or COVID-19 positive patients: statement of the Italian Society of Medical and Interventional Radiology

Ethical principles for the application of artificial intelligence (AI) in nuclear medicine

Seventy Years and Counting: The Canadian Association of Radiologists’ Journal

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