Author Correction: Deep learning versus human graders for classifying diabetic retinopathy severity in a nationwide screening program
… program Paisan Ruamviboonsuk1, Jonathan Krause2, Peranut Chotcomwongse1, Rory
Sayres2, Rajiv Raman3, Kasumi Widner2, Bilson JL Campana2, Sonia Phene2, Kornwipa …
Sayres2, Rajiv Raman3, Kasumi Widner2, Bilson JL Campana2, Sonia Phene2, Kornwipa …
Expert discussions improve comprehension of difficult cases in medical image assessment
Medical data labeling workflows critically depend on accurate assessments from human
experts. Yet human assessments can vary markedly, even among medical experts. Prior …
experts. Yet human assessments can vary markedly, even among medical experts. Prior …
Ambiguity-aware ai assistants for medical data analysis
M Schaekermann, G Beaton, E Sanoubari… - Proceedings of the …, 2020 - dl.acm.org
Artificial intelligence (AI) assistants for clinical decision making show increasing promise in
medicine. However, medical assessments can be contentious, leading to expert …
medicine. However, medical assessments can be contentious, leading to expert …
[CITATION][C] Deep learning versus human graders for classifying diabetic retinopathy severity in a nationwide screening program. npj Digital Medicine 2, 1 (12 2019) …
…, M Tadarati, S Silpa-Archa, J Limwattanayingyong… - DOI: http://dx. doi. org …, 2019