568 citations · 1.3k across the 79 of their papers we have counts for
8 papers · 1 filter
DRStageNet: Deep Learning for Diabetic Retinopathy Staging from Fundus Images
Yevgeniy Men, Jonathan Fhima, Leo Anthony Celi +3
Diabetic retinopathy (DR) is a prevalent complication of diabetes associated with a significant risk of vision loss. Timely identification is critical to curb vision impairment. Al…
Benchmarking bias: Expanding clinical AI model card to incorporate bias reporting of social and non-social factors
Carolina A. M. Heming, Mohamed Abdalla, Shahram Mohanna +8
Clinical AI model reporting cards should be expanded to incorporate a broad bias reporting of both social and non-social factors. Non-social factors consider the role of other fact…
Generalization in medical AI: a perspective on developing scalable models
Eran Zvuloni, Leo Anthony Celi, Joachim A. Behar
The scientific community is increasingly recognizing the importance of generalization in medical AI for translating research into practical clinical applications. A three-level sca…
Unmasking Biases and Navigating Pitfalls in the Ophthalmic Artificial Intelligence Lifecycle: A Review
Luis Filipe Nakayama, João Matos, Justin Quion +8
Over the past two decades, exponential growth in data availability, computational power, and newly available modeling techniques has led to an expansion in interest, investment, an…
Towards long-tailed, multi-label disease classification from chest X-ray: Overview of the CXR-LT challenge
Gregory Holste, Yiliang Zhou, Song Wang +22
Many real-world image recognition problems, such as diagnostic medical imaging exams, are "long-tailed" $\unicode{x2013}$ there are a few common findings followed by many more rela…
Causal thinking for decision making on Electronic Health Records: why and how
Matthieu Doutreligne, Tristan Struja, Judith Abecassis +3
Accurate predictions, as with machine learning, may not suffice to provide optimal healthcare for every patient. Indeed, prediction can be driven by shortcuts in the data, such as…