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Accepted for/Published in: Interactive Journal of Medical Research

Date Submitted: Sep 3, 2018
Open Peer Review Period: Sep 3, 2018 - Oct 8, 2018
Date Accepted: Jan 31, 2019
(closed for review but you can still tweet)

The final, peer-reviewed published version of this preprint can be found here:

Artificial Intelligence in Clinical Health Care Applications: Viewpoint

van de Stolpe A, van Hartskamp M, Consoli S, Verhaegh W, Petkovic M

Artificial Intelligence in Clinical Health Care Applications: Viewpoint

Interact J Med Res 2019;8(2):e12100

DOI: 10.2196/12100

PMID: 30950806

PMCID: 6473209

Use of Artificial Intelligence in Clinical Healthcare Applications

  • Anja van de Stolpe; 
  • Michael van Hartskamp; 
  • Sergio Consoli; 
  • Wim Verhaegh; 
  • Milan Petkovic

ABSTRACT

Background:

The idea of Artificial Intelligence (AI) has a long history. It turned out, however, that reaching intelligence at human levels is more complicated. Currently we are experiencing a renewed interest in AI, fueled by an enormous increase in computing power and an even larger increase in data in combination with improved AI technologies, like deep learning, to develop algorithms. Healthcare is considered the next domain to be revolutionized by Artificial Intelligence. While AI approaches are excellently suited to develop certain algorithms, for clinical patient applications there are specific challenges. We propose recommendations to guide AI projects in clinical healthcare.

Objective:

Viewpoint on how to use artificial intelligence methods in medical research

Methods:

NA

Results:

Recommendations as how to use AI methods in medical and clinical research

Conclusions:

Improvements in the use of AI methods to analyse medical data are needed to increase development of clinically useful algorithms Clinical Trial: NA


 Citation

Please cite as:

van de Stolpe A, van Hartskamp M, Consoli S, Verhaegh W, Petkovic M

Artificial Intelligence in Clinical Health Care Applications: Viewpoint

Interact J Med Res 2019;8(2):e12100

DOI: 10.2196/12100

PMID: 30950806

PMCID: 6473209

Per the author's request the PDF is not available.

© The authors. All rights reserved. This is a privileged document currently under peer-review/community review (or an accepted/rejected manuscript). Authors have provided JMIR Publications with an exclusive license to publish this preprint on it's website for review and ahead-of-print citation purposes only. While the final peer-reviewed paper may be licensed under a cc-by license on publication, at this stage authors and publisher expressively prohibit redistribution of this draft paper other than for review purposes.