Claes Nøhr Ladefoged

Feb 3, 2025 | jnm.snmjournals.org | David Kovacs |Claes Nøhr Ladefoged |Jacob Bak Rosenkjær |Fatima Mawassi

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) showcases the potential of in-house AI in clinical practice. Clinically, we often find ourselves in need of a legitimate path to apply in-house developments.