Is the Clinical Implementation of In-House Artificial Intelligence–Developed Algorithms Happening?
The advent of artificial intelligence (AI) in medical imaging and nuclear medicine could revolutionize our approach to diagnosing and treating complex conditions. Our recent paper, “Clinical Evaluation of Deep Learning for Tumor Delineation on 18F-FDG PET/CT of Head and Neck Cancer,” ([1][1])
Authors
- Anna Olga Aaskilde Laursen
- Flemming Littrup Andersen (ORCID: https://orcid.org/0000-0003-2821-1849)
- Barbara Malene Fischer (ORCID: https://orcid.org/0000-0002-6065-3375)
- Claes Nøhr Ladefoged (ORCID: https://orcid.org/0000-0002-3583-4190)
- Dávid Kovács
- Jacob Bak Rosenkjær
- Fatima Mawassi
- Line Akiti Hingelberg
Institutions
- University of Copenhagen (DK)
- Copenhagen University Hospital (DK)
- Rigshospitalet (DK)
- Copenhagen Academy for Medical Education and Simulation (DK)
- Technical University of Denmark (DK)
Publication Details
- Journal
- Journal of Nuclear Medicine
- Published
- 2024-12-12
- DOI
- https://doi.org/10.2967/jnumed.124.268156
- Citations
- 3
- Primary Topic
- Artificial Intelligence in Healthcare and Education
- Type
- article
- Field-Weighted Citation Impact
- 0.36