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A Counterblast to Pessimists and Naysayers – Intelligent Echocardiography Remains the Foundation Stone of Evidence-Based Clinical Cardiology Cover

A Counterblast to Pessimists and Naysayers – Intelligent Echocardiography Remains the Foundation Stone of Evidence-Based Clinical Cardiology

By: Alan G Fraser  
Open Access
|Dec 2023

References

  1. Faes L, Sim DA, van Smeden M, Held U, Bossuyt PM, Bachmann LM. Artificial intelligence and statistics: just the old wine in new wineskins? Front Digit Health. 2022; 4: 833912.
  2. Bishop JM. Artificial intelligence is stupid and causal reasoning will not fix it. Front Psychol. 2021; 11: 2603. www.frontiersin.org/article/10.3389/fpsyg.2020.513474
  3. World Health Organization. Ethics and governance of artificial intelligence for health. WHO Guidance, Geneva 2021. https://www.who.int/publications/i/item/9789240037403
  4. European Commission, Medical Device Coordination Group. MDCG 2019-11 Guidance on qualification and classification of software in Regulation (EU) 2017/745 – MDR and Regulation (EU) 2017/746 – IVDR. October 2019. https://health.ec.europa.eu/system/files/2020-09/md_mdcg_2019_11_guidance_qualification_classification_software_en_0.pdf
  5. Fraser AG, Biasin E, Bijnens B, Bruining N, Caiani EG, Cobbaert K, Davies RH, Gilbert SH, Hovestadt L, Kamenjasevic E, Kwade Z, McGauran G, O’Connor G, Vasey B, Rademakers FE. Artificial intelligence in medical device software and high-risk medical devices - A review of definitions, expert recommendations and regulatory initiatives. Expert Rev Med Devices. 2023; 20: 467–491.
  6. Coordinating Research and Evidence for Medical Devices (CORE-MD) is an EU Horizon 2020 project (965246). For more information visit www.core-md.eu
  7. Fraser AG, Nelissen RGHH, Kjærsgaard-Andersen P, Szymański P, Melvin T, Piscoi P; CORE-MD Investigators. Improved clinical investigation and evaluation of high-risk medical devices: the rationale and objectives of CORE-MD (Coordinating Research and Evidence for Medical Devices). Eur Heart J Qual Care Clin Outcomes. 2022; 8(3): 249–258.
  8. Vasey B, Ursprung S, Beddoe B, Taylor EH, Marlow N, Bilbro N, Watkinson P, McCulloch P. Association of clinician diagnostic performance with machine learning-based decision support systems: a systematic review. JAMA Netw Open. 2021; 4(3):e211276.
  9. Fraser AG, Butchart EG, Szymański P, Caiani EG, Crosby S, Kearney P, Van de Werf F. The need for transparency of clinical evidence for medical devices in Europe. Lancet. 2018; 392: 521–530.
  10. Claussnitzer M, Cho JH, Collins R, Cox NJ, Dermitzakis ET, Hurles ME, Kathiresan S, Kenny EE, Lindgren CM, MacArthur DG, North KN, Plon SE, Rehm HL, Risch N, Rotimi CN, Shendure J, Soranzo N, McCarthy MI. A brief history of human disease genetics. Nature. 2020; 577: 179–189.
  11. Fraser AG, Tschöpe C, de Boer RA. Diagnostic recommendations and phenotyping for heart failure with preserved ejection fraction: knowing more and understanding less? Eur J Heart Fail. 2021; 23: 964–972.
DOI: https://doi.org/10.2478/rjc-2023-0024 | Journal eISSN: 2734-6382 | Journal ISSN: 1220-658X
Language: English
Page range: 138 - 140
Published on: Dec 26, 2023
Published by: Romanian Society of Cardiology
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year

© 2023 Alan G Fraser, published by Romanian Society of Cardiology
This work is licensed under the Creative Commons Attribution 4.0 License.