Published on in Vol 6, No 11 (2022): November

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/42343, first published .
Feasibility of a Reinforcement Learning–Enabled Digital Health Intervention to Promote Mammograms: Retrospective, Single-Arm, Observational Study

Feasibility of a Reinforcement Learning–Enabled Digital Health Intervention to Promote Mammograms: Retrospective, Single-Arm, Observational Study

Feasibility of a Reinforcement Learning–Enabled Digital Health Intervention to Promote Mammograms: Retrospective, Single-Arm, Observational Study

Authors of this article:

Amy Bucher1 Author Orcid Image ;   E Susanne Blazek1 Author Orcid Image ;   Ashley B West1 Author Orcid Image

Journals

  1. West A, Guo Y, Bucher A. Leveraging behavioral science and artificial intelligence to support mental health in the workplace: a pilot study. Frontiers in Psychiatry 2023;14 View
  2. Marcotte L, Deeds S, Wheat C, Gunnink E, Gray K, Rojas J, Finch C, Nelson K, Reddy A. Automated Opt-Out vs Opt-In Patient Outreach Strategies for Breast Cancer Screening. JAMA Internal Medicine 2023;183(11):1187 View
  3. Bucher A, Blazek E, Symons C. How are Machine Learning and Artificial Intelligence Used in Digital Behavior Change Interventions? A Scoping Review. Mayo Clinic Proceedings: Digital Health 2024;2(3):375 View
  4. Konar N, Suner A. Altmetric, Bibliometric, and Visualized Study of Top 100 Most Cited Papers in Digital Health. Bandırma Onyedi Eylül Üniversitesi Sağlık Bilimleri ve Araştırmaları Dergisi 2024;6(2):262 View
  5. Bucher A, Chaudhry B, Davis J, Lawrence K, Panza E, Baqer M, Feinstein R, Fields S, Huberty J, Kaplan D, Kusters I, Materia F, Park S, Kepper M, Kuo P. How to design equitable digital health tools: A narrative review of design tactics, case studies, and opportunities. PLOS Digital Health 2024;3(8):e0000591 View

Books/Policy Documents

  1. Akanbi K, Lekwa S, Prabhakar A. Proceedings of the Future Technologies Conference (FTC) 2024, Volume 4. View