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Digital health and artificial intelligence in kidney research: a report from the 2020 Kidney Disease Clinical Trialists (KDCT) meeting.
Yi, Tae Won; Laing, Chris; Kretzler, Matthias; Nkulikiyinka, Richard; Legrand, Matthieu; Jardine, Meg; Rossignol, Patrick; Smyth, Brendan.
  • Yi TW; George Institute for Global Health, University of New South Wales, Sydney, NSW, Australia.
  • Laing C; Department of Medicine, Clinician Investigator Program, University of British Columbia, Vancouver BC, Canada.
  • Kretzler M; NHMRC Clinical Trials Centre, University of Sydney, Camperdown, NSW, Australia.
  • Nkulikiyinka R; University College London Centre for Nephrology, Royal Free Hospital, London, UK.
  • Legrand M; Royal Free London NHS Foundation Trust, London, UK.
  • Jardine M; Division of Nephrology, Department of Internal Medicine, University of Michigan, Ann Arbor, MI, USA.
  • Rossignol P; Bayer AG, Pharmaceuticals, Research & Development, Wuppertal, Germany.
  • Smyth B; Department of Anesthesia and Perioperative Care, Division of Critical Care Medicine, University of California, San Francisco, CA, USA.
Nephrol Dial Transplant ; 37(4): 620-627, 2022 03 25.
Article in English | MEDLINE | ID: covidwho-1522261
ABSTRACT
The exponential growth in digital technology coupled with the global coronavirus disease 2019 pandemic is driving a profound change in the delivery of medical care and research conduct. The growing availability of electronic monitoring, electronic health records, smartphones and other devices and access to ever greater computational power provides not only new opportunities, but also new challenges. Artificial intelligence (AI) exemplifies the potential of this digital revolution, which also includes other tools such as mobile health (mHealth) services and wearables. Despite digital technology becoming commonplace, its use in medicine and medical research is still in its infancy, with many clinicians and researchers having limited experience with such tools in their usual practice. This article, derived from the 'Digital Health and Artificial Intelligence' session of the Kidney Disease Clinical Trialists virtual workshop held in September 2020, aims to illustrate the breadth of applications to which digital tools and AI can be applied in clinical medicine and research. It highlights several innovative projects incorporating digital technology that range from streamlining medical care of those with acute kidney injury to the use of AI to navigate the vast genomic and proteomic data gathered in kidney disease. Important considerations relating to any new digital health project are presented, with a view to encouraging the further evolution and refinement of these new tools in a manner that fosters collaboration and the generation of robust evidence.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: COVID-19 / Kidney Diseases Type of study: Prognostic study Limits: Humans Language: English Journal: Nephrol Dial Transplant Journal subject: Nephrology / Transplantation Year: 2022 Document Type: Article Affiliation country: Ndt

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Full text: Available Collection: International databases Database: MEDLINE Main subject: COVID-19 / Kidney Diseases Type of study: Prognostic study Limits: Humans Language: English Journal: Nephrol Dial Transplant Journal subject: Nephrology / Transplantation Year: 2022 Document Type: Article Affiliation country: Ndt