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Shannon Wongvibulsin

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Nature Machine Intelligence|August 10, 2019
Educational strategies to foster diversity and inclusion in machine intelligenceShannon Wongvibulsin
Interactive Journal of Medical Research|July 18, 2022
Recommendations for Better Adoption of Medical Photography as a Clinical ToolShannon Wongvibulsin, Kristian Feterik
Dermatologic Clinics|October 15, 2025
Educating Dermatologists for the Artificial Intelligence EraShannon Wongvibulsin, Ivy Lee
JAMA Dermatology|January 8, 2025
Artificial Intelligence and DermatologyShannon Wongvibulsin, Ivy Lee
Med (New York, N.Y.)|May 13, 2023
Deep learning for Mpox: Advances, challenges, and opportunitiesShannon Wongvibulsin, Adewole S Adamson
BMJ Evidence-Based Medicine|May 13, 2019
Enabling individualised health in learning healthcare systemsShannon Wongvibulsin, Scott L Zeger
Journal of the American Academy of Dermatology|June 23, 2019
Anatomic localization and quantitative analysis of the burden of itch in the United StatesShannon Wongvibulsin, Raveena Khanna, Shawn G Kwatra
BMC Medical Research Methodology|January 1, 2020
Clinical risk prediction with random forests for survival, longitudinal, and multivariate (RF-SLAM) data analysisShannon Wongvibulsin, Katherine C Wu, Scott L Zeger
AMIA ... Annual Symposium Proceedings. AMIA Symposium|June 2, 2018
Quantifying and Visualizing Medication Adherence in Patients Following Acute Myocardial InfarctionJane Wang, Shannon Wongvibulsin, Katharine Henry, et al.
Journal of Traditional and Complementary Medicine|April 10, 2014
Achieving Balance Through the Art of Eating: Demystifying Eastern Nutrition and Blending it with Western NutritionShannon Wongvibulsin, Suzie Seoyang Lee, Ka-Kit Hui
Pageof 5

Showing results (1-10 of 50) with videos related to

Sort By:
Pageof 5
Nature Machine Intelligence|August 10, 2019
Educational strategies to foster diversity and inclusion in machine intelligenceShannon Wongvibulsin
Interactive Journal of Medical Research|July 18, 2022
Recommendations for Better Adoption of Medical Photography as a Clinical ToolShannon Wongvibulsin, Kristian Feterik
Dermatologic Clinics|October 15, 2025
Educating Dermatologists for the Artificial Intelligence EraShannon Wongvibulsin, Ivy Lee
JAMA Dermatology|January 8, 2025
Artificial Intelligence and DermatologyShannon Wongvibulsin, Ivy Lee
Med (New York, N.Y.)|May 13, 2023
Deep learning for Mpox: Advances, challenges, and opportunitiesShannon Wongvibulsin, Adewole S Adamson
BMJ Evidence-Based Medicine|May 13, 2019
Enabling individualised health in learning healthcare systemsShannon Wongvibulsin, Scott L Zeger
Journal of the American Academy of Dermatology|June 23, 2019
Anatomic localization and quantitative analysis of the burden of itch in the United StatesShannon Wongvibulsin, Raveena Khanna, Shawn G Kwatra
BMC Medical Research Methodology|January 1, 2020
Clinical risk prediction with random forests for survival, longitudinal, and multivariate (RF-SLAM) data analysisShannon Wongvibulsin, Katherine C Wu, Scott L Zeger
AMIA ... Annual Symposium Proceedings. AMIA Symposium|June 2, 2018
Quantifying and Visualizing Medication Adherence in Patients Following Acute Myocardial InfarctionJane Wang, Shannon Wongvibulsin, Katharine Henry, et al.
Journal of Traditional and Complementary Medicine|April 10, 2014
Achieving Balance Through the Art of Eating: Demystifying Eastern Nutrition and Blending it with Western NutritionShannon Wongvibulsin, Suzie Seoyang Lee, Ka-Kit Hui
Pageof 5