Social media's role in the perception of radiologists and artificial intelligence


      • Social media is changing how patients get information and interact with physicians.
      • Approximately 85% of radiologists use social media.
      • Most AI-related peer-reviewed publications are geared toward academic audiences.
      • Non-peer-reviewed media fills the void with misleading commentary.
      • Radiologists must lead, using social media, to educate patients and public.


      Social media are impacting all industries and changing the way daily interactions take place. This has been notable in health care as it allows a mechanism to connect patients directly to physicians, advocacy groups, and health care information. Recently, the development of artificial intelligence (AI) applications in radiology has drawn media attention. This has generated a conversation on social media about the expendable role of a radiologist. Often, articles in the lay press have little medical expertise informing opinions about artificial intelligence in radiology. We propose solutions for radiologists to take the lead in the narrative on social media about the role of AI in radiology to better inform and shape public perception about the role of AI in radiology.


      To read this article in full you will need to make a payment

      Purchase one-time access:

      Academic & Personal: 24 hour online accessCorporate R&D Professionals: 24 hour online access
      One-time access price info
      • For academic or personal research use, select 'Academic and Personal'
      • For corporate R&D use, select 'Corporate R&D Professionals'


      Subscribe to Clinical Imaging
      Already a print subscriber? Claim online access
      Already an online subscriber? Sign in
      Institutional Access: Sign in to ScienceDirect


      1. The impact of social media: Is it irreplaceable? [email protected] 2019. (accessed February 4, 2020).

        • Ranschaert E.R.
        • Van Ooijen P.M.A.
        • McGinty G.B.
        • Parizel P.M.
        Radiologists’ usage of social media: results of the RANSOM survey.
        J Digit Imaging. 2016; 29: 443-449
        • Tso H.H.
        • Parikh J.R.
        Leveraging Facebook to brand radiology.
        J Am Coll Radiol. 2018; 15: 1027-1032
        • Ranginwala S.
        • Towbin A.J.
        Use of social media in radiology education.
        J Am Coll Radiol. 2018; 15: 190-200
        • Hoang J.K.
        • McCall J.
        • Dixon A.F.
        • Fitzgerald R.T.
        • Gaillard F.
        Using social media to share your radiology research: how effective is a blog post?.
        J Am Coll Radiol. 2015; 12: 760-765
        • Retrouvey M.
        • Keefe B.
        • Kotsenas A.
        • McGinty G.
        • Patel A.K.
        Women in radiology: creating a global mentorship network through social media.
        J Am Coll Radiol. 2018; 15: 229-232
        • Zhao Y.
        • Zhang J.
        Consumer health information seeking in social media: a literature review.
        Health Info Libr J. 2017; 34: 268-283
      2. Fox S. The Social Life of Health Information. Pew Research Center 2014. (accessed February 4, 2020).

        • Hanauer D.A.
        • Zheng K.
        • Singer D.C.
        • Gebremariam A.
        • Davis M.M.
        Public awareness, perception, and use of online physician rating sites.
        JAMA. 2014; 311: 734-735
        • Burkle C.M.
        • Keegan M.T.
        Popularity of internet physician rating sites and their apparent influence on patients’ choices of physicians.
        BMC Health Serv Res. 2015; 15: 416
      3. Is Social Media Changing the Doctor-patient Relationship? American Academy of Family Physicians 2018. (accessed February 4, 2020).

      4. Arnold A. How Social Media Usage Affects Doctor to Patient Relationships. Forbes 2018. (accessed February 4, 2020).

        • Heimans J.
        • Timms H.
        New Power: How Power Works in our Hyperconnected World — and How to Make It Work for You.
        Doubleday, New York2018
        • Dalmer N.K.
        Questioning reliability assessments of health information on social media.
        J Med Libr Assoc. 2017; 105: 61-68
        • Wu J.T.
        • McCormick J.B.
        Why health professionals should speak out against false beliefs on the internet.
        AMA J Ethics. 2018; 20 (E1052–8)
      5. Gyenes N, Mina AX. How misinfodemics spread disease. The Atlantic 2018. (accessed February 4, 2020).

        • Sogani J.
        • Allen B.
        • Dreyer K.
        • McGinty G.
        Artificial intelligence in radiology: the ecosystem essential to improving patient care.
        Clin Imaging. 2020; 59 (A3–6)
        • Pesapane F.
        • Codari M.
        • Sardanelli F.
        Artificial intelligence in medical imaging: threat or opportunity? Radiologists again at the forefront of innovation in medicine.
        Eur Radiol Exp. 2018; 2: 35
        • West E.
        • Mutasa S.
        • Zhu Z.
        • Ha R.
        Global trend in artificial intelligence-based publications in radiology from 2000 to 2018.
        Am J Roentgenol. 2019; 213: 1204-1206
      6. Brooks L, Arnold D. AI Showcase Expands and Relocates at RSNA 2019. RSNA 2019. (accessed February 4, 2020).

        • Kahn C.E.
        Artificial intelligence, real radiology.
        Radiol Artif Intell. 2019; 1e184001
        • Hawkins C.M.
        • DeLaO A.J.
        • Hung C.
        Social media and the patient experience.
        J Am Coll Radiol. 2016; 13: 1615-1621
        • Prabhu A.V.
        • Donovan A.L.
        • Crihalmeanu T.
        • Hansberry D.R.
        • Agarwal N.
        • Beriwal S.
        • et al.
        Radiology online patient education materials provided by major university hospitals: do they conform to NIH and AMA guidelines?.
        Curr Probl Diagn Radiol. 2018; 47: 75-79
        • Hillman B.J.
        As clear as mud.
        J Am Coll Radiol. 2018; 15: 233
        • Longoni C.
        • Bonezzi A.
        • Morewedge C.K.
        Resistance to medical artificial intelligence.
        J Consum Res. 2019; 46: 629-650
      7. Longoni C, Morewedge CK. AI can outperform doctors. So why don't patients trust it? Harv Bus Rev 2019. (accessed February 4, 2020).

        • Adams S.J.
        • Tang R.
        • Babyn P.
        Patient perspectives and priorities regarding artificial intelligence in radiology: opportunities for patient-centered radiology.
        J Am Coll Radiol. 2020; (article in press)
      8. Geoff Hinton: On Radiology. YouTube 2016. (accessed February 4, 2020).

      9. Farr C. Here's Why One Tech Investor Thinks some Doctors will be ‘Obsolete’ in Five Years. CNBC 2017. (accessed February 4, 2020).

      10. Siegel E. Will Radiologists be Replaced by Computers? Debunking the Hype of AI. Carestream 2016. (accessed February 4, 2020).

        • Chockley K.
        • Emanuel E.
        The end of radiology? Three threats to the future practice of radiology.
        J Am Coll Radiol. 2016; 13: 1415-1420
      11. Morgenstern M. Automation and anxiety. The Economist 2016. (accessed February 4, 2020).

      12. AI expert: Stop training Radiologists. Your thoughts? Reddit 2017. (accessed February 4, 2020).

      13. Radiology resident; ask me anything! Student Doctor Network 2018. (accessed February 4, 2020).

      14. Sam. Machine learning in radiology: threat or opportunity? HBS Digital Initiative 2018. (accessed February 4, 2020).

        • Burdorf B.
        A medical student’s outlook on radiology in light of artificial intelligence.
        J Am Coll Radiol. 2019; 16: 1514-1515
      15. Siegel E. Rest assured, João, you are safe from artificial intelligence. Applied Radiology 2017. (accessed February 4, 2020).

        • Gong B.
        • Nugent J.P.
        • Guest W.
        • Parker W.
        • Chang P.J.
        • Khosa F.
        • et al.
        Influence of artificial intelligence on Canadian medical students’ preference for radiology specialty: a national survey study.
        Acad Radiol. 2019; 26: 566-577
        • van Hoek J.
        • Huber A.
        • Leichtle A.
        • Härmä K.
        • Hilt D.
        • von Tengg-Kobligk H.
        • et al.
        A survey on the future of radiology among radiologists, medical students and surgeons: students and surgeons tend to be more skeptical about artificial intelligence and radiologists may fear that other disciplines take over.
        Eur J Radiol. 2019; 121 (108742)
      16. Walter M. Social media's influence on radiology continues to grow. Radiology Business 2018. (accessed February 4, 2020).

        • Gupta S.
        • Patel T.Y.
        Radiologists should not be “ordered” around.
        J Am Coll Radiol. 2017; 14: 1639-1640
        • Silverman L.
        Scanning the future, radiologists see their jobs at risk.
        NPR, 2017
      17. Rad AI launches with $4 million in funding to build innovations in radiology. PR Newswire 2019. (accessed February 4, 2020).

        • Geis J.R.
        • Brady A.P.
        • Wu C.C.
        • Spencer J.
        • Ranschaert E.
        • Jaremko J.L.
        • et al.
        Ethics of artificial intelligence in radiology: summary of the joint European and North American multisociety statement.
        Radiology. 2019; 293: 436-440