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Your search keyword '"Monga, Natasha"' showing total 10 results
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10 results on '"Monga, Natasha"'

1. High–Temporal/High–Spatial Resolution Breast Magnetic Resonance Imaging Improves Diagnostic Accuracy Compared With Standard Breast Magnetic Resonance Imaging in Patients With High Background Parenchymal Enhancement

Author

Eskreis-Winkler, Sarah, primary, Sung, Janice S., additional, Dixon, Linden, additional, Monga, Natasha, additional, Jindal, Ragni, additional, Simmons, Amber, additional, Thakur, Sunitha, additional, Sevilimedu, Varadan, additional, Sutton, Elizabeth, additional, Comstock, Christopher, additional, Feigin, Kimberly, additional, and Pinker, Katja, additional

Published
2023
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4. Artificial Intelligence Applications in Breast Imaging: Current Status and Future Directions.

Author

Taylor, Clayton R., Monga, Natasha, Johnson, Candise, Hawley, Jeffrey R., and Patel, Mitva

Subjects
*COMPUTER-aided diagnosis, *BREAST imaging, *ARTIFICIAL intelligence, *MEDICAL screening, *MACHINE learning
Abstract

Attempts to use computers to aid in the detection of breast malignancies date back more than 20 years. Despite significant interest and investment, this has historically led to minimal or no significant improvement in performance and outcomes with traditional computer-aided detection. However, recent advances in artificial intelligence and machine learning are now starting to deliver on the promise of improved performance. There are at present more than 20 FDA-approved AI applications for breast imaging, but adoption and utilization are widely variable and low overall. Breast imaging is unique and has aspects that create both opportunities and challenges for AI development and implementation. Breast cancer screening programs worldwide rely on screening mammography to reduce the morbidity and mortality of breast cancer, and many of the most exciting research projects and available AI applications focus on cancer detection for mammography. There are, however, multiple additional potential applications for AI in breast imaging, including decision support, risk assessment, breast density quantitation, workflow and triage, quality evaluation, response to neoadjuvant chemotherapy assessment, and image enhancement. In this review the current status, availability, and future directions of investigation of these applications are discussed, as well as the opportunities and barriers to more widespread utilization. [ABSTRACT FROM AUTHOR]

Published
2023
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8. Fostering Organizational Excellence through Inclusive Leadership: Practical Guide for Radiology Leaders

Author

Narayan, Anand K., Boone, Nicole, Monga, Natasha, McFarlane, Natasha, Mango, Victoria L., Seifert, Mark, Smith, Artell, Woods, Ryan W., and Weissman, Ian A.

Abstract

Inclusive leadership skills represent valuable tools to enable radiology departments to improve workforce recruitment and retention and unlock the potential of a rapidly diversifying workforce.

Published
2024
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