Effective detection and evaluation of hallucinations in artificial intelligence–generated content for nuclear medicine imaging require multifaceted frameworks, including image-based, dataset-based, and clinical task–based metrics, as well as automated detectors trained on hallucination-annotated datasets.

Authors

• Person: Not available Organization: The Journal of Nuclear Medicine
  On Hallucinations in Artificial Intelligence–Generated Content ...

Sources

• On Hallucinations in Artificial Intelligence–Generated Content ... jnm.snmjournals.org The Journal of Nuclear Medicine via serper

Referenced by nodes (3)

• artificial intelligence concept
• hallucination detection concept
• Hallucination Evaluation Model concept