Interactive AI annotation of medical images in a virtual reality environment
This study is the first to compare the quality of original and interactive AI annotation and to use radiologists' opinions as the measure. More research is needed for generalization.
Authors
- Helena Mehtonen (ORCID: https://orcid.org/0000-0001-8513-7978)
- Nastaran Rasouli (ORCID: https://orcid.org/0009-0008-5015-3984)
- Jaakko Sahlsten (ORCID: https://orcid.org/0000-0002-7364-6502)
- Joel Jaskari
- Kimmo Kaski (ORCID: https://orcid.org/0000-0002-3805-9687)
- Jari Kangas (ORCID: https://orcid.org/0000-0003-1970-1862)
- Jorma Järnstedt (ORCID: https://orcid.org/0000-0003-1503-3078)
- Roope Raisamo (ORCID: https://orcid.org/0000-0003-3276-7866)
- Mikko Saukkoriipi (ORCID: https://orcid.org/0000-0003-3735-5860)
- Lotta Orsmaa (ORCID: https://orcid.org/0009-0005-1738-4965)
Institutions
- Tampere University of Applied Sciences (FI)
- Tampere University (FI)
- Pirkanmaa Hospital District (FI)
- Tampere University Hospital (FI)
- Tampere University (FI)
- Aalto University (FI)
Publication Details
- Journal
- International Journal of Computer Assisted Radiology and Surgery
- Published
- 2025-08-18
- DOI
- https://doi.org/10.1007/s11548-025-03497-9
- Primary Topic
- Artificial Intelligence in Healthcare and Education
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Academy of Finland
- Tays
- Business Finland