Výsledky vyhledávání - "Delfino Jana G"

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Synthetic Data in Radiological Imaging: Current State and Future Outlook

Autor: Sizikova, Elena, Badal, Andreu, Delfino, Jana G., Lago, Miguel, Nelson, Brandon, Saharkhiz, Niloufar, Sahiner, Berkman, Zamzmi, Ghada, Badano, Aldo

A key challenge for the development and deployment of artificial intelligence (AI) solutions in radiology is solving the associated data limitations. Obtaining sufficient and representative patient datasets with appropriate annotations may be burdens

Externí odkaz: http://arxiv.org/abs/2407.01561

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Out-of-Distribution Detection and Data Drift Monitoring using Statistical Process Control

Autor: Zamzmi, Ghada, Venkatesh, Kesavan, Nelson, Brandon, Prathapan, Smriti, Yi, Paul H., Sahiner, Berkman, Delfino, Jana G.

Background: Machine learning (ML) methods often fail with data that deviates from their training distribution. This is a significant concern for ML-enabled devices in clinical settings, where data drift may cause unexpected performance that jeopardiz

Externí odkaz: http://arxiv.org/abs/2402.08088

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Knowledge-based in silico models and dataset for the comparative evaluation of mammography AI for a range of breast characteristics, lesion conspicuities and doses

Autor: Sizikova, Elena, Saharkhiz, Niloufar, Sharma, Diksha, Lago, Miguel, Sahiner, Berkman, Delfino, Jana G., Badano, Aldo

To generate evidence regarding the safety and efficacy of artificial intelligence (AI) enabled medical devices, AI models need to be evaluated on a diverse population of patient cases, some of which may not be readily available. We propose an evaluat

Externí odkaz: http://arxiv.org/abs/2310.18494

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Evaluation of wait time saving effectiveness of triage algorithms

Autor: Thompson, Yee Lam Elim, Levine, Gary M, Chen, Weijie, Sahiner, Berkman, Li, Qin, Petrick, Nicholas, Delfino, Jana G, Lago, Miguel A, Cao, Qian, Samuelson, Frank W

In the past decade, Artificial Intelligence (AI) algorithms have made promising impacts to transform healthcare in all aspects. One application is to triage patients' radiological medical images based on the algorithm's binary outputs. Such AI-based

Externí odkaz: http://arxiv.org/abs/2303.07050

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