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How to Improve the Management of Acute Ischemic Stroke by Modern Technologies, Artificial Intelligence, and New Treatment Methods.
Zelenák, Kamil; Krajina, Antonín; Meyer, Lukas; Fiehler, Jens; Behme, Daniel; Bulja, Deniz; Caroff, Jildaz; Chotai, Amar Ajay; Da Ros, Valerio; Gentric, Jean-Christophe; Hofmeister, Jeremy; Kass-Hout, Omar; Kocatürk, Özcan; Lynch, Jeremy; Pearson, Ernesto; Vukasinovic, Ivan.
  • Zelenák K; Clinic of Radiology, Jessenius Faculty of Medicine in Martin, Comenius University in Bratislava, 03659 Martin, Slovakia.
  • Krajina A; ESMINT Artificial Intelligence and Robotics Ad hoc Committee, ESMINT, 8008 Zurich, Switzerland.
  • Meyer L; Department of Radiology, Charles University Faculty of Medicine and University Hospital, CZ-500 05 Hradec Králové, Czech Republic.
  • Fiehler J; Diagnostic and Interventional Neuroradiology, University Medical Center Hamburg-Eppendorf, 20251 Hamburg, Germany.
  • Esmint Artificial Intelligence And Robotics Ad Hoc Committee; Diagnostic and Interventional Neuroradiology, University Medical Center Hamburg-Eppendorf, 20251 Hamburg, Germany.
  • Behme D; ESMINT Artificial Intelligence and Robotics Ad hoc Committee, ESMINT, 8008 Zurich, Switzerland.
  • Bulja D; ESMINT Artificial Intelligence and Robotics Ad hoc Committee, ESMINT, 8008 Zurich, Switzerland.
  • Caroff J; University Clinic for Neuroradiology, Medical Faculty, Otto-von-Guericke University Magdeburg, 39120 Magdeburg, Germany.
  • Chotai AA; ESMINT Artificial Intelligence and Robotics Ad hoc Committee, ESMINT, 8008 Zurich, Switzerland.
  • Da Ros V; Diagnostic-Interventional Radiology Department, Clinic of Radiology, Clinical Center of University of Sarajevo, 71000 Sarajevo, Bosnia and Herzegovina.
  • Gentric JC; ESMINT Artificial Intelligence and Robotics Ad hoc Committee, ESMINT, 8008 Zurich, Switzerland.
  • Hofmeister J; Department of Interventional Neuroradiology-NEURI Brain Vascular Center, Bicêtre Hospital, APHP, 94270 Paris, France.
  • Kass-Hout O; ESMINT Artificial Intelligence and Robotics Ad hoc Committee, ESMINT, 8008 Zurich, Switzerland.
  • Kocatürk Ö; Department of Neuroradiology, Royal Victoria Infirmary, Newcastle upon Tyne NE14LP, UK.
  • Lynch J; ESMINT Artificial Intelligence and Robotics Ad hoc Committee, ESMINT, 8008 Zurich, Switzerland.
  • Pearson E; Department of Biomedicine and Prevention, University Hospital of Rome "Tor Vergata", 00133 Rome, Italy.
  • Vukasinovic I; ESMINT Artificial Intelligence and Robotics Ad hoc Committee, ESMINT, 8008 Zurich, Switzerland.
Life (Basel) ; 11(6)2021 May 27.
Article in English | MEDLINE | ID: covidwho-1256597
ABSTRACT
Stroke remains one of the leading causes of death and disability in Europe. The European Stroke Action Plan (ESAP) defines four main targets for the years 2018 to 2030. The COVID-19 pandemic forced the use of innovative technologies and created pressure to improve internet networks. Moreover, 5G internet network will be helpful for the transfer and collecting of extremely big databases. Nowadays, the speed of internet connection is a limiting factor for robotic systems, which can be controlled and commanded potentially from various places in the world. Innovative technologies can be implemented for acute stroke patient management soon. Artificial intelligence (AI) and robotics are used increasingly often without the exception of medicine. Their implementation can be achieved in every level of stroke care. In this article, all steps of stroke health care processes are discussed in terms of how to improve them (including prehospital diagnosis, consultation, transfer of the patient, diagnosis, techniques of the treatment as well as rehabilitation and usage of AI). New ethical problems have also been discovered. Everything must be aligned to the concept of "time is brain".
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Full text: Available Collection: International databases Database: MEDLINE Type of study: Experimental Studies Language: English Year: 2021 Document Type: Article Affiliation country: Life11060488

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Full text: Available Collection: International databases Database: MEDLINE Type of study: Experimental Studies Language: English Year: 2021 Document Type: Article Affiliation country: Life11060488