Published on in Vol 22, No 2 (2020): February

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/16866, first published .
The Economic Impact of Artificial Intelligence in Health Care: Systematic Review

The Economic Impact of Artificial Intelligence in Health Care: Systematic Review

The Economic Impact of Artificial Intelligence in Health Care: Systematic Review

Journals

  1. Adly A, Adly A, Adly M. Approaches Based on Artificial Intelligence and the Internet of Intelligent Things to Prevent the Spread of COVID-19: Scoping Review. Journal of Medical Internet Research 2020;22(8):e19104 View
  2. Zhang Y, zhang X, Wu Q, Gu C, Wang Z. Artificial Intelligence-Aided Colonoscopy for Polyp Detection: A Systematic Review and Meta-Analysis of Randomized Clinical Trials. Journal of Laparoendoscopic & Advanced Surgical Techniques 2021 View
  3. von Wedel P, Hagist C. Economic Value of Data and Analytics for Health Care Providers: Hermeneutic Systematic Literature Review. Journal of Medical Internet Research 2020;22(11):e23315 View
  4. Delso G, Cirillo D, Kaggie J, Valencia A, Metser U, Veit-Haibach P. How to Design AI-Driven Clinical Trials in Nuclear Medicine. Seminars in Nuclear Medicine 2021;51(2):112 View
  5. He Q, Du F, Simonse L. A Patient Journey Map to Improve the Home Isolation Experience of Persons With Mild COVID-19: Design Research for Service Touchpoints of Artificial Intelligence in eHealth. JMIR Medical Informatics 2021;9(4):e23238 View
  6. Petersen C, Smith J, Freimuth R, Goodman K, Jackson G, Kannry J, Liu H, Madhavan S, Sittig D, Wright A. Recommendations for the safe, effective use of adaptive CDS in the US healthcare system: an AMIA position paper. Journal of the American Medical Informatics Association 2021;28(4):677 View
  7. Sachar S, Dakessian M, Beitari S, Badrinarayanan S. Artificial Intelligence Alongside Physicians in Canada: Reality and Risks. Journal of Science Policy & Governance 2020;17(01) View
  8. Stanimirović D, Matetić V. Can the COVID-19 pandemic boost the global adoption and usage of eHealth solutions?. Journal of Global Health 2020;10(2) View
  9. Nicol G, Ricchio A, Metts C, Yingling M, Ramsey A, Schweiger J, Miller J, Lenze E. A Smartphone-Based Technique to Detect Dynamic User Preferences for Tailoring Behavioral Interventions: Observational Utility Study of Ecological Daily Needs Assessment. JMIR mHealth and uHealth 2020;8(11):e18609 View
  10. Yin J, Ngiam K, Teo H. Role of Artificial Intelligence Applications in Real-Life Clinical Practice: Systematic Review. Journal of Medical Internet Research 2021;23(4):e25759 View
  11. Shivakumar N, Chandrashekar A, Handa A, Lee R. Use of deep learning for detection, characterisation and prediction of metastatic disease from computerised tomography: a systematic review. Postgraduate Medical Journal 2021:postgradmedj-2020-139620 View
  12. Balagurunathan Y, Mitchell R, El Naqa I. Requirements and reliability of AI in the medical context. Physica Medica 2021;83:72 View