Evaluation of standardized DICOM labels assigned by a hybrid AI tool and its impact on radiologists’ reading times - Top-Institutions - MDSpire

Evaluation of standardized DICOM labels assigned by a hybrid AI tool and its impact on radiologists’ reading times

  • By

  • Bina Tariq

  • Meike W. Vernooij

  • Ken Redekop

  • Daniel Bos

  • Jacob J. Visser

  • June 10, 2026

  • 0 min

Share

Top Institutions in Radiology

Brief introduction explaining scope and methodology.

  • #1

    Erasmus Medical Centre
    Erasmus Medical Centre

    Rotterdam, Netherlands

    Key Differentiators

    • Radiology

  • #2

    academic hospital in the Netherlands
    academic hospital in the Netherlands

    Unknown, Netherlands

    Key Differentiators

    • Radiology

  • #3

    University Hospital Aachen
    University Hospital Aachen

    Aachen, Germany

    Key Differentiators

    • Radiology

Original Source(s)

Evaluation of standardized DICOM labels assigned by a hybrid AI tool and its impact on radiologists’ reading times

  • by Bina Tariq, Meike W. Vernooij, Ken Redekop, Daniel Bos, Jacob J. Visser

  • June 10, 2026

Related Content

CT-based radiomics improves survival prediction in colorectal liver metastases: beyond clinical scores

Effect and mechanism of repetitive transcranial magnetic stimulation of angular gyrus on patients with consciousness disorder

Repeatability of AI-quantified incidental findings on lung cancer screening CT scans in the NELSON trial