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cs.CV2026★ 2 cited
Performance uncertainty in medical image analysis: a large-scale investigation of confidence intervals
Pascaline André, Pascaline André, Charles Heitz +12
Performance uncertainty quantification is essential for reliable validation and eventual clinical translation of medical imaging artificial intelligence (AI). Confidence intervals…
cs.CV2025
False Promises in Medical Imaging AI? Assessing Validity of Outperformance Claims
Evangelia Christodoulou, Annika Reinke, Pascaline Andrè +23
Performance comparisons are fundamental in medical imaging Artificial Intelligence (AI) research, often driving claims of superiority based on relative improvements in common perfo…