Artificial intelligence in radiology: 173 commercially available products and their scientific evidence - Takeaways - MDSpire

Artificial intelligence in radiology: 173 commercially available products and their scientific evidence

  • By

  • Noa Antonissen

  • Olga Tryfonos

  • Ignas B. Houben

  • Colin Jacobs

  • Maarten de Rooij

  • Kicky G. van Leeuwen

  • July 24, 2025

  • 0 min

Share

  • 1

    AI has potential to enhance diagnostic accuracy and clinical workflows in radiology, but adoption is hindered by several barriers.

  • 2

    As of 2020, only 36 of 100 CE-certified radiological AI products had peer-reviewed evidence supporting their efficacy.

  • 3

    The study evaluated peer-reviewed evidence for CE-certified radiological AI products from 2020 to 2023, focusing on clinical relevance.

  • 4

    A total of 173 CE-certified radiological AI products from 90 vendors were analyzed, with 88 new products introduced since 2020.

  • 5

    The analysis highlights the need for comprehensive evidence on AI's impact on clinical decision-making and patient outcomes.

Original Source(s)

Artificial intelligence in radiology: 173 commercially available products and their scientific evidence

  • by Noa Antonissen, Olga Tryfonos, Ignas B. Houben, Colin Jacobs, Maarten de Rooij, Kicky G. van Leeuwen

  • July 24, 2025

Related Content

The Loan Cap That Could Shrink the Doctor Pipeline

New federal limits on medical school borrowing may quietly reshape who becomes a physician—and where they practice.

A lightweight CVTC model for accurate Alzheimer’s MRI analysis and lesion annotation

CT and MRI radiomics in cardiovascular risk prediction: a systematic review and meta-analysis by the EuSoMII Radiomics Auditing Group