Correctness for medical AI is a multi-dimensional concept involving ground truth instability, model opacity, inadequate clinical metrics, and automation bias risks rather than reducible to performance benchmarks.
Reporting guideline for the early-stage clinical evaluation of decision support systems driven by artificial intelligence: Decide-ai
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.CV 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
What Does It Mean for a Medical AI System to Be Right?
Correctness for medical AI is a multi-dimensional concept involving ground truth instability, model opacity, inadequate clinical metrics, and automation bias risks rather than reducible to performance benchmarks.