Literature DB >> 33528677

Bringing AI to the clinic: blueprint for a vendor-neutral AI deployment infrastructure.

Tim Leiner1, Edwin Bennink2, Christian P Mol2, Hugo J Kuijf2, Wouter B Veldhuis3.   

Abstract

AI provides tremendous opportunities for improving patient care, but at present there is little evidence of real-world uptake. An important barrier is the lack of well-designed, vendor-neutral and future-proof infrastructures for deployment. Because current AI algorithms are very narrow in scope, it is expected that a typical hospital will deploy many algorithms concurrently. Managing stand-alone point solutions for all of these algorithms will be unmanageable. A solution to this problem is a dedicated platform for deployment of AI. Here we describe a blueprint for such a platform and the high-level design and implementation considerations of such a system that can be used clinically as well as for research and development. Close collaboration between radiologists, data scientists, software developers and experts in hospital IT as well as involvement of patients is crucial in order to successfully bring AI to the clinic.

Entities:  

Keywords:  Artificial intelligence; Deployment; Imaging informatics; Vendor-neutral; Workflow

Year:  2021        PMID: 33528677     DOI: 10.1186/s13244-020-00931-1

Source DB:  PubMed          Journal:  Insights Imaging        ISSN: 1869-4101


  4 in total

1.  Machine learning solutions in radiology: does the emperor have no clothes?

Authors:  Renato Cuocolo; Massimo Imbriaco
Journal:  Eur Radiol       Date:  2021-04-15       Impact factor: 5.315

2.  Considerations for artificial intelligence clinical impact in oncologic imaging: an AI4HI position paper.

Authors:  Luis Marti-Bonmati; Dow-Mu Koh; Katrine Riklund; Maciej Bobowicz; Yiannis Roussakis; Joan C Vilanova; Jurgen J Fütterer; Jordi Rimola; Pedro Mallol; Gloria Ribas; Ana Miguel; Manolis Tsiknakis; Karim Lekadir; Gianna Tsakou
Journal:  Insights Imaging       Date:  2022-05-10

3.  The Applied Data Analytics in Medicine Program: Lessons Learned From Four Years' Experience With Personalizing Health Care in an Academic Teaching Hospital.

Authors:  Saskia Haitjema; Timothy R Prescott; Wouter W van Solinge
Journal:  JMIR Form Res       Date:  2022-01-28

4.  Medical-Blocks-A Platform for Exploration, Management, Analysis, and Sharing of Data in Biomedical Research: System Development and Integration Results.

Authors:  Waldo Valenzuela; Fabian Balsiger; Roland Wiest; Olivier Scheidegger
Journal:  JMIR Form Res       Date:  2022-04-11
  4 in total

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