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Preventing Chronic Disease
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August 22, 2024
Health Equity and Ethical Considerations in Using Artificial Intelligence in Public Health and Medicine
Irene Dankwa-Mullan
Cancer Discovery
|
June 2, 2022
Artificial Intelligence and Machine Learning Technologies in Cancer Care: Addressing Disparities, Bias, and Data Diversity
Irene Dankwa-Mullan, Dilhan Weeraratne
American Journal of Health Promotion : AJHP
|
April 14, 2022
For the Commercially Insured, Equitable Health Benefits Begin With Equitable Health Insurance Design
Bruce W Sherman, Irene Dankwa-Mullan
Journal of Cancer Education : the Official Journal of the American Association for Cancer Education
|
March 16, 2010
Colorectal cancer screening preferences among African Americans: which screening test is preferred?
Richard C Palmer, Lynn A Midgette, Irene Dankwa Mullan
PLOS Digital Health
|
April 8, 2025
Ethical challenges and evolving strategies in the integration of artificial intelligence into clinical practice
Ellison B Weiner, Irene Dankwa-Mullan, William A Nelson, et al.
Plos One
|
November 8, 2021
Artificial intelligence applications in social media for depression screening: A systematic review protocol for content validity processes
Priscilla N Owusu, Ulrich Reininghaus, Georgia Koppe, et al.
Population Health Management
|
September 27, 2018
Transforming Diabetes Care Through Artificial Intelligence: The Future Is Here
Irene Dankwa-Mullan, Marc Rivo, Marisol Sepulveda, et al.
Current Oncology Reports
|
January 3, 2025
Artificial Intelligence and Cancer Health Equity: Bridging the Divide or Widening the Gap
Irene Dankwa-Mullan, Kingsley Ndoh, Darlington Akogo, et al.
JAMA Network Open
|
April 15, 2021
Comparison of Methods to Reduce Bias From Clinical Prediction Models of Postpartum Depression
Yoonyoung Park, Jianying Hu, Moninder Singh, et al.
American Journal of Public Health
|
February 12, 2010
The science of eliminating health disparities: summary and analysis of the NIH summit recommendations
Irene Dankwa-Mullan, Kyu B Rhee, Kester Williams, et al.
Page
of 4
Search research articles
Search
Showing results (1-10 of 35) with videos related to
Sort By:
Page
of 4
Preventing Chronic Disease
|
August 22, 2024
Health Equity and Ethical Considerations in Using Artificial Intelligence in Public Health and Medicine
Irene Dankwa-Mullan
Cancer Discovery
|
June 2, 2022
Artificial Intelligence and Machine Learning Technologies in Cancer Care: Addressing Disparities, Bias, and Data Diversity
Irene Dankwa-Mullan, Dilhan Weeraratne
American Journal of Health Promotion : AJHP
|
April 14, 2022
For the Commercially Insured, Equitable Health Benefits Begin With Equitable Health Insurance Design
Bruce W Sherman, Irene Dankwa-Mullan
Journal of Cancer Education : the Official Journal of the American Association for Cancer Education
|
March 16, 2010
Colorectal cancer screening preferences among African Americans: which screening test is preferred?
Richard C Palmer, Lynn A Midgette, Irene Dankwa Mullan
PLOS Digital Health
|
April 8, 2025
Ethical challenges and evolving strategies in the integration of artificial intelligence into clinical practice
Ellison B Weiner, Irene Dankwa-Mullan, William A Nelson, et al.
Plos One
|
November 8, 2021
Artificial intelligence applications in social media for depression screening: A systematic review protocol for content validity processes
Priscilla N Owusu, Ulrich Reininghaus, Georgia Koppe, et al.
Population Health Management
|
September 27, 2018
Transforming Diabetes Care Through Artificial Intelligence: The Future Is Here
Irene Dankwa-Mullan, Marc Rivo, Marisol Sepulveda, et al.
Current Oncology Reports
|
January 3, 2025
Artificial Intelligence and Cancer Health Equity: Bridging the Divide or Widening the Gap
Irene Dankwa-Mullan, Kingsley Ndoh, Darlington Akogo, et al.
JAMA Network Open
|
April 15, 2021
Comparison of Methods to Reduce Bias From Clinical Prediction Models of Postpartum Depression
Yoonyoung Park, Jianying Hu, Moninder Singh, et al.
American Journal of Public Health
|
February 12, 2010
The science of eliminating health disparities: summary and analysis of the NIH summit recommendations
Irene Dankwa-Mullan, Kyu B Rhee, Kester Williams, et al.
Page
of 4