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The Capital Region of Denmark - a part of Copenhagen University Hospital
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Kunstig intelligens til klinisk billeddiagnostik

Research output: Contribution to journalJournal articleResearchpeer-review

  1. Orbital cysticercosis

    Research output: Contribution to journalJournal articleResearchpeer-review

  2. Palytoksinforgiftning relateret til saltvandsakvarie

    Research output: Contribution to journalJournal articleResearchpeer-review

  3. Presence of SARS-CoV-2 in semen and the impact of COVID-19 on the male reproductive system

    Research output: Contribution to journalReviewResearchpeer-review

  4. Flying fattens and swimming slims - the secret of the mermaid

    Research output: Contribution to journalJournal articleResearchpeer-review

  5. Behandling af mandlig infertilitet

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Artificial intelligence (AI) is a computer-based system, which in diagnostic imaging can improve patient flow, optimise image processing, shorten scan time, reduce radiation dose and be used as decision aid in image interpretation. In this review, we argue that AI algorithms should be based on evidence with initial hypothesis, then a choice of algorithm and development with training on the initial data set; afterwards the algorithms should be tested on a new representative dataset, and finally it should be tested in a prospective study. If the AI is evidence-based and can solve a task better or cheaper than the usual methodology, it can be implemented.

Translated title of the contributionArtificial intelligence for diagnostic imaging
Original languageDanish
JournalUgeskrift for Laeger
Volume182
Issue number13
ISSN0041-5782
Publication statusPublished - 23 Mar 2020

ID: 62414158