Impact of artificial intelligence on radiology: a EuroAIM survey among members of the European Society of Radiology

Marina Codari, Luca Melazzini, Sergey P. Morozov, Cornelis C. van Kuijk, Luca M. Sconfienza, Francesco Sardanelli

Research output: Contribution to journalArticleAcademicpeer-review

Abstract

We report the results of a survey conducted among ESR members in November and December 2018, asking for expectations about artificial intelligence (AI) in 5–10 years. Of 24,000 ESR members contacted, 675 (2.8%) completed the survey, 454 males (67%), 555 (82%) working at academic/public hospitals. AI impact was mostly expected (≥ 30% of responders) on breast, oncologic, thoracic, and neuro imaging, mainly involving mammography, computed tomography, and magnetic resonance. Responders foresee AI impact on: job opportunities (375/675, 56%), 218/375 (58%) expecting increase, 157/375 (42%) reduction; reporting workload (504/675, 75%), 256/504 (51%) expecting reduction, 248/504 (49%) increase; radiologist’s profile, becoming more clinical (364/675, 54%) and more subspecialised (283/675, 42%). For 374/675 responders (55%) AI-only reports would be not accepted by patients, for 79/675 (12%) accepted, for 222/675 (33%) it is too early to answer. For 275/675 responders (41%) AI will make the radiologist-patient relation more interactive, for 140/675 (21%) more impersonal, for 259/675 (38%) unchanged. If AI allows time saving, radiologists should interact more with clinicians (437/675, 65%) and/or patients (322/675, 48%). For all responders, involvement in AI-projects is welcome, with different roles: supervision (434/675, 64%), task definition (359/675, 53%), image labelling (197/675, 29%). Of 675 responders, 321 (48%) do not currently use AI, 138 (20%) use AI, 205 (30%) are planning to do it. According to 277/675 responders (41%), radiologists will take responsibility for AI outcome, while 277/675 (41%) suggest shared responsibility with other professionals. To summarise, responders showed a general favourable attitude towards AI.
Original languageEnglish
JournalInsights into Imaging
Volume10
Issue number1
DOIs
Publication statusPublished - 1 Dec 2019

Cite this

Codari, Marina ; Melazzini, Luca ; Morozov, Sergey P. ; van Kuijk, Cornelis C. ; Sconfienza, Luca M. ; Sardanelli, Francesco. / Impact of artificial intelligence on radiology: a EuroAIM survey among members of the European Society of Radiology. In: Insights into Imaging. 2019 ; Vol. 10, No. 1.
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abstract = "We report the results of a survey conducted among ESR members in November and December 2018, asking for expectations about artificial intelligence (AI) in 5–10 years. Of 24,000 ESR members contacted, 675 (2.8{\%}) completed the survey, 454 males (67{\%}), 555 (82{\%}) working at academic/public hospitals. AI impact was mostly expected (≥ 30{\%} of responders) on breast, oncologic, thoracic, and neuro imaging, mainly involving mammography, computed tomography, and magnetic resonance. Responders foresee AI impact on: job opportunities (375/675, 56{\%}), 218/375 (58{\%}) expecting increase, 157/375 (42{\%}) reduction; reporting workload (504/675, 75{\%}), 256/504 (51{\%}) expecting reduction, 248/504 (49{\%}) increase; radiologist’s profile, becoming more clinical (364/675, 54{\%}) and more subspecialised (283/675, 42{\%}). For 374/675 responders (55{\%}) AI-only reports would be not accepted by patients, for 79/675 (12{\%}) accepted, for 222/675 (33{\%}) it is too early to answer. For 275/675 responders (41{\%}) AI will make the radiologist-patient relation more interactive, for 140/675 (21{\%}) more impersonal, for 259/675 (38{\%}) unchanged. If AI allows time saving, radiologists should interact more with clinicians (437/675, 65{\%}) and/or patients (322/675, 48{\%}). For all responders, involvement in AI-projects is welcome, with different roles: supervision (434/675, 64{\%}), task definition (359/675, 53{\%}), image labelling (197/675, 29{\%}). Of 675 responders, 321 (48{\%}) do not currently use AI, 138 (20{\%}) use AI, 205 (30{\%}) are planning to do it. According to 277/675 responders (41{\%}), radiologists will take responsibility for AI outcome, while 277/675 (41{\%}) suggest shared responsibility with other professionals. To summarise, responders showed a general favourable attitude towards AI.",
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Impact of artificial intelligence on radiology: a EuroAIM survey among members of the European Society of Radiology. / Codari, Marina; Melazzini, Luca; Morozov, Sergey P.; van Kuijk, Cornelis C.; Sconfienza, Luca M.; Sardanelli, Francesco.

In: Insights into Imaging, Vol. 10, No. 1, 01.12.2019.

Research output: Contribution to journalArticleAcademicpeer-review

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AB - We report the results of a survey conducted among ESR members in November and December 2018, asking for expectations about artificial intelligence (AI) in 5–10 years. Of 24,000 ESR members contacted, 675 (2.8%) completed the survey, 454 males (67%), 555 (82%) working at academic/public hospitals. AI impact was mostly expected (≥ 30% of responders) on breast, oncologic, thoracic, and neuro imaging, mainly involving mammography, computed tomography, and magnetic resonance. Responders foresee AI impact on: job opportunities (375/675, 56%), 218/375 (58%) expecting increase, 157/375 (42%) reduction; reporting workload (504/675, 75%), 256/504 (51%) expecting reduction, 248/504 (49%) increase; radiologist’s profile, becoming more clinical (364/675, 54%) and more subspecialised (283/675, 42%). For 374/675 responders (55%) AI-only reports would be not accepted by patients, for 79/675 (12%) accepted, for 222/675 (33%) it is too early to answer. For 275/675 responders (41%) AI will make the radiologist-patient relation more interactive, for 140/675 (21%) more impersonal, for 259/675 (38%) unchanged. If AI allows time saving, radiologists should interact more with clinicians (437/675, 65%) and/or patients (322/675, 48%). For all responders, involvement in AI-projects is welcome, with different roles: supervision (434/675, 64%), task definition (359/675, 53%), image labelling (197/675, 29%). Of 675 responders, 321 (48%) do not currently use AI, 138 (20%) use AI, 205 (30%) are planning to do it. According to 277/675 responders (41%), radiologists will take responsibility for AI outcome, while 277/675 (41%) suggest shared responsibility with other professionals. To summarise, responders showed a general favourable attitude towards AI.

KW - Artificial Intelligence

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