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Literature DB >> 33323236

Artificial intelligence: opportunities and risks for public health.

Trishan Panch¹, Jonathan Pearson-Stuttard², Felix Greaves², Rifat Atun¹.

Abstract

Year: 2019 PMID： 33323236 DOI： 10.1016/S2589-7500(19)30002-0

Source DB: PubMed Journal: Lancet Digit Health ISSN： 2589-7500

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Cited

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12 in total

1. Digital health approaches for cardiovascular diseases prevention and management: lessons from preliminary studies.

Authors: Sheikh Mohammed Shariful Islam; Ralph Maddison
Journal: Mhealth Date: 2021-07-20

2. The Benefits of Crowdsourcing to Seed and Align an Algorithm in an mHealth Intervention for African American and Hispanic Adults: Survey Study.

Authors: Neil Jay Sehgal; Shuo Huang; Neil Mason Johnson; John Dickerson; Devlon Jackson; Cynthia Baur
Journal: J Med Internet Res Date: 2022-06-21 Impact factor: 7.076

Review 3. Artificial intelligence for good health: a scoping review of the ethics literature.

Authors: Kathleen Murphy; Erica Di Ruggiero; Ross Upshur; Donald J Willison; Neha Malhotra; Jia Ce Cai; Nakul Malhotra; Vincci Lui; Jennifer Gibson
Journal: BMC Med Ethics Date: 2021-02-15 Impact factor: 2.652

4. Predicting adverse outcomes due to diabetes complications with machine learning using administrative health data.

Authors: Mathieu Ravaut; Hamed Sadeghi; Kin Kwan Leung; Maksims Volkovs; Kathy Kornas; Vinyas Harish; Tristan Watson; Gary F Lewis; Alanna Weisman; Tomi Poutanen; Laura Rosella
Journal: NPJ Digit Med Date: 2021-02-12

5. Why is repositioning public health innovation towards a social paradigm necessary? A reflection on the field of public health through the examples of Ebola and Covid-19.

Authors: Marietou Niang; Sophie Dupéré; Hassane Alami; Marie-Pierre Gagnon
Journal: Global Health Date: 2021-04-14 Impact factor: 4.185

Review 10. Exploring the actionability of healthcare performance indicators for quality of care: a qualitative analysis of the literature, expert opinion and user experience.

Authors: Erica Barbazza; Niek S Klazinga; Dionne S Kringos
Journal: BMJ Qual Saf Date: 2021-05-07 Impact factor: 7.035

Artificial intelligence: opportunities and risks for public health.

1. Digital health approaches for cardiovascular diseases prevention and management: lessons from preliminary studies.

2. The Benefits of Crowdsourcing to Seed and Align an Algorithm in an mHealth Intervention for African American and Hispanic Adults: Survey Study.

Review 3. Artificial intelligence for good health: a scoping review of the ethics literature.

4. Predicting adverse outcomes due to diabetes complications with machine learning using administrative health data.

5. Why is repositioning public health innovation towards a social paradigm necessary? A reflection on the field of public health through the examples of Ebola and Covid-19.

6. Artificial Intelligence and Statistics: Just the Old Wine in New Wineskins?

Review 7. Development of New Technologies for Risk Identification of Schistosomiasis Transmission in China.

Review 8. Perceptions and Needs of Artificial Intelligence in Health Care to Increase Adoption: Scoping Review.

9. Predicting Self-Rated Health Across the Life Course: Health Equity Insights from Machine Learning Models.

Review 10. Exploring the actionability of healthcare performance indicators for quality of care: a qualitative analysis of the literature, expert opinion and user experience.