Zobrazeno 1 - 10
of 279
pro vyhledávání: '"Novoa, Roberto A."'
For the deployment of artificial intelligence (AI) in high-risk settings, such as healthcare, methods that provide interpretability/explainability or allow fine-grained error analysis are critical. Many recent methods for interpretability/explainabil
Externí odkaz:
http://arxiv.org/abs/2302.00785
Autor:
Montgomery, Kate L.1 (AUTHOR), Novoa, Roberto A.2,3 (AUTHOR), Ko, Justin M.2 (AUTHOR), Sanchez, Gabriel N.1 (AUTHOR) gabriel.sanchez@enspectrahealth.com
Publikováno v:
Scientific Reports. 10/30/2024, Vol. 14 Issue 1, p1-12. 12p.
Autor:
Vodrahalli, Kailas, Ko, Justin, Chiou, Albert S., Novoa, Roberto, Abid, Abubakar, Phung, Michelle, Yekrang, Kiana, Petrone, Paige, Zou, James, Daneshjou, Roxana
Telemedicine utilization was accelerated during the COVID-19 pandemic, and skin conditions were a common use case. However, the quality of photographs sent by patients remains a major limitation. To address this issue, we developed TrueImage 2.0, an
Externí odkaz:
http://arxiv.org/abs/2209.09105
Autor:
Daneshjou, Roxana, Vodrahalli, Kailas, Novoa, Roberto A, Jenkins, Melissa, Liang, Weixin, Rotemberg, Veronica, Ko, Justin, Swetter, Susan M, Bailey, Elizabeth E, Gevaert, Olivier, Mukherjee, Pritam, Phung, Michelle, Yekrang, Kiana, Fong, Bradley, Sahasrabudhe, Rachna, Allerup, Johan A. C., Okata-Karigane, Utako, Zou, James, Chiou, Albert
Access to dermatological care is a major issue, with an estimated 3 billion people lacking access to care globally. Artificial intelligence (AI) may aid in triaging skin diseases. However, most AI models have not been rigorously assessed on images of
Externí odkaz:
http://arxiv.org/abs/2203.08807
Autor:
Daneshjou, Roxana, Vodrahalli, Kailas, Liang, Weixin, Novoa, Roberto A, Jenkins, Melissa, Rotemberg, Veronica, Ko, Justin, Swetter, Susan M, Bailey, Elizabeth E, Gevaert, Olivier, Mukherjee, Pritam, Phung, Michelle, Yekrang, Kiana, Fong, Bradley, Sahasrabudhe, Rachna, Zou, James, Chiou, Albert
More than 3 billion people lack access to care for skin disease. AI diagnostic tools may aid in early skin cancer detection; however most models have not been assessed on images of diverse skin tones or uncommon diseases. To address this, we curated
Externí odkaz:
http://arxiv.org/abs/2111.08006
Autor:
Vodrahalli, Kailas, Daneshjou, Roxana, Novoa, Roberto A, Chiou, Albert, Ko, Justin M, Zou, James
Telehealth is an increasingly critical component of the health care ecosystem, especially due to the COVID-19 pandemic. Rapid adoption of telehealth has exposed limitations in the existing infrastructure. In this paper, we study and highlight photo q
Externí odkaz:
http://arxiv.org/abs/2010.02086
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Akademický článek
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Best Practices for Clinical Skin Image Acquisition in Translational Artificial Intelligence Research
Autor:
Phung, Michelle, Muralidharan, Vijaytha, Rotemberg, Veronica, Novoa, Roberto Andres, Chiou, Albert Sean, Sadée, Christoph Y., Rapaport, Bailie, Yekrang, Kiana, Bitz, Jared, Gevaert, Olivier, Ko, Justin Meng, Daneshjou, Roxana
Publikováno v:
In Journal of Investigative Dermatology July 2023 143(7):1127-1132
Autor:
Torres-Benoni, Felipe1 felipe.torres.b@usach.cl, Durán-Novoa, Roberto2
Publikováno v:
Journal of Technology Management & Innovation. 2023, Vol. 18 Issue 4, p104-122. 19p.