A snapshot of artificial intelligence research 2019-2021: is it replacing or assisting physicians?

被引:6
作者
Elmahdy, Mahmoud [1 ]
Sebro, Ronnie [1 ,2 ,3 ,4 ]
机构
[1] Mayo Clin, Dept Radiol, 4500 San Pablo Rd, Jacksonville, FL 32224 USA
[2] Mayo Clin, Ctr Augmented Intelligence, Jacksonville, FL 32224 USA
[3] Mayo Clin, Dept Orthoped Surg, Jacksonville, FL 32224 USA
[4] Ctr Quantitat Hlth Sci, Dept Biostat, Jacksonville, FL USA
关键词
artificial intelligence; disruptive technology;
D O I
10.1093/jamia/ocad094
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Artificial intelligence (AI) has the potential to be a disruptive technology in healthcare. Recently, there is increased speculation that AI may be used to replace healthcare providers in the future. To answer this question, we reviewed over 21 000 articles published in medical specialty journals between 2019 and 2021 to evaluate whether these AI models were intended to assist or replace healthcare providers. We also evaluated whether all Food and Drug Administration (FDA)-approved AI models were used to assist or replace healthcare providers. We find that most AI models published in this time period were intended to assist rather than replace healthcare providers, and that most of the published AI models performed tasks that could not be done by healthcare providers.
引用
收藏
页码:1552 / 1557
页数:6
相关论文
共 23 条
  • [1] The impact of artificial intelligence in medicine on the future role of the physician
    Ahuja, Abhimanyu S.
    [J]. PEERJ, 2019, 7
  • [2] Comparing Physician and Artificial Intelligence Chatbot Responses to Patient Questions Posted to a Public Social Media Forum
    Ayers, John W.
    Poliak, Adam
    Dredze, Mark
    Leas, Eric C.
    Zhu, Zechariah
    Kelley, Jessica B.
    Faix, Dennis J.
    Goodman, Aaron M.
    Longhurst, Christopher A.
    Hogarth, Michael
    Smith, Davey M.
    [J]. JAMA INTERNAL MEDICINE, 2023, 183 (06) : 589 - 596
  • [3] Automated tracheal intubation in an airway manikin using a robotic endoscope: a proof of concept study
    Biro, P.
    Hofmann, P.
    Gage, D.
    Boehler, Q.
    Chautems, C.
    Braun, J.
    Spahn, D. R.
    Nelson, B. J.
    [J]. ANAESTHESIA, 2020, 75 (07) : 881 - 886
  • [4] Dermatologists are Essential for Quality of Care in the General Practice of Medicine
    Bos, J. D.
    Schram, M. E.
    Mekkes, J. R.
    [J]. ACTAS DERMO-SIFILIOGRAFICAS, 2009, 100 : 101 - 105
  • [5] Artificial intelligence assistance significantly improves Gleason grading of prostate biopsies by pathologists
    Bulten, Wouter
    Balkenhol, Maschenka
    Belinga, Jean-Joel Awoumou
    Brilhante, Americo
    Cakir, Asli
    Egevad, Lars
    Eklund, Martin
    Farre, Xavier
    Geronatsiou, Katerina
    Molinie, Vincent
    Pereira, Guilherme
    Roy, Paromita
    Saile, Gunter
    Salles, Paulo
    Schaafsma, Ewout
    Tschui, Joelle
    Vos, Anne-Marie
    van Boven, Hester
    Vink, Robert
    van der Laak, Jeroen
    Hulsbergen-van der Kaa, Christina
    Litjens, Geert
    [J]. MODERN PATHOLOGY, 2021, 34 (03) : 660 - 671
  • [6] Christensen C.M., 2015, What Is Disruptive Innovation
  • [7] Beyond the AJR: Comparison of Artificial Intelligence Candidate and Radiologists on Mock Examinations for the Fellow of Royal College of Radiology Part B
    Elmahdy, Mahmoud
    Sebro, Ronnie
    [J]. AMERICAN JOURNAL OF ROENTGENOLOGY, 2023, 221 (04) : 555 - 555
  • [8] Radiomics analysis in medical imaging research
    Elmahdy, Mahmoud
    Sebro, Ronnie
    [J]. JOURNAL OF MEDICAL RADIATION SCIENCES, 2023, 70 (01) : 3 - 7
  • [9] FDA, SECONDARY
  • [10] Prospective evaluation of an artificial intelligence-enabled algorithm for automated diabetic retinopathy screening of 30 000 patients
    Heydon, Peter
    Egan, Catherine
    Bolter, Louis
    Chambers, Ryan
    Anderson, John
    Aldington, Steve
    Stratton, Irene M.
    Scanlon, Peter Henry
    Webster, Laura
    Mann, Samantha
    du Chemin, Alain
    Owen, Christopher G.
    Tufail, Adnan
    Rudnicka, Alicja Regina
    [J]. BRITISH JOURNAL OF OPHTHALMOLOGY, 2021, 105 (05) : 723 - 728