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Bibliometric Analysis on Artificial Intelligence and Machine Learning in Vascular Surgery

      Artificial Intelligence (AI) and Machine Learning (ML) have brought new insights in vascular diseases, as evidenced by an increasing number of published articles demonstrating their interest to improve diagnosis, build predictive models, assess the prognosis of patients, propose new devices and develop aid-decision support system with personalized therapeutic approach.
      • Li B.
      • Feridooni T.
      • Cuen-Ojeda C.
      • et al.
      Machine learning in vascular surgery: a systematic review and critical appraisal.
      ,
      • Raffort J.
      • Adam C.
      • Carrier M.
      • et al.
      Fundamentals in artificial intelligence for vascular surgeons.
      Several reviews summarized the applications of AI in vascular diseases and mainly focused on aortic
      • Raffort J.
      • Adam C.
      • Carrier M.
      • et al.
      Artificial intelligence in abdominal aortic aneurysm.
      ,
      • Hahn L.D.
      • Baeumler K.
      • Hsiao A.
      Artificial intelligence and machine learning in aortic disease.
      and peripheral artery disease.
      • Flores A.M.
      • Demsas F.
      • Leeper N.J.
      • et al.
      Leveraging machine learning and artificial intelligence to improve peripheral artery disease detection, treatment, and outcomes.
      However, bibliometric analysis investigating major topics, main AI techniques, contributors, journals, and context of research have been so far less reported.
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      References

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        • Feridooni T.
        • Cuen-Ojeda C.
        • et al.
        Machine learning in vascular surgery: a systematic review and critical appraisal.
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        • Raffort J.
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        Fundamentals in artificial intelligence for vascular surgeons.
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        • Carrier M.
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        Artificial intelligence in abdominal aortic aneurysm.
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