Matthew B. A. McDermott
Columbia University · US
Relevante Arbeiten
Meistzitierte Publikationen im Bereich Gesundheit & MedTech
Underdiagnosis bias of artificial intelligence algorithms applied to chest radiographs in under-served patient populations
2021 · 738 Zit. · Nature Medicine
Hurtful words
2020 · 120 Zit.
APPRAISE-AI Tool for Quantitative Evaluation of AI Studies for Clinical Decision Support
2023 · 110 Zit. · JAMA Network Open
Trends and Focus of Machine Learning Applications for Health Research
2019 · 69 Zit. · JAMA Network Open
CheXclusion: Fairness gaps in deep chest X-ray classifiers
2020 · 36 Zit.
Hurtful Words: Quantifying Biases in Clinical Contextual Word Embeddings
2020 · 29 Zit. · arXiv (Cornell University)
Reproducibility in Machine Learning for Health
2019 · 29 Zit. · arXiv (Cornell University)
Medical imaging algorithms exacerbate biases in underdiagnosis
2021 · 10 Zit. · Research Square
Event Stream GPT: A Data Pre-processing and Modeling Library for Generative, Pre-trained Transformers over Continuous-time Sequences of Complex Events
2023 · 9 Zit. · arXiv (Cornell University)
Clinical Artificial Intelligence
2022 · 5 Zit. · Clinics in Laboratory Medicine
Reply to: ‘Potential sources of dataset bias complicate investigation of underdiagnosis by machine learning algorithms’ and ‘Confounding factors need to be accounted for in assessing bias by machine learning algorithms’
2022 · 5 Zit. · Nature Medicine
Reflections from Research Roundtables at the Conference on Health, Inference, and Learning (CHIL) 2025
2025 · 0 Zit. · ArXiv.org