Published on in Vol 25 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/41588, first published .
Federated Machine Learning, Privacy-Enhancing Technologies, and Data Protection Laws in Medical Research: Scoping Review

Federated Machine Learning, Privacy-Enhancing Technologies, and Data Protection Laws in Medical Research: Scoping Review

Federated Machine Learning, Privacy-Enhancing Technologies, and Data Protection Laws in Medical Research: Scoping Review

Journals

  1. Ritahani Ismail A, Mohd Khalili A, Adilah Rahim N, Nisa S. Deep Convolutional Generative Adversarial Networks for Imbalance Medical Image Classification.. International Journal on Perceptive and Cognitive Computing 2023;9(2):98 View
  2. Garcia Santa Cruz B, Husch A, Hertel F. Machine learning models for diagnosis and prognosis of Parkinson's disease using brain imaging: general overview, main challenges, and future directions. Frontiers in Aging Neuroscience 2023;15 View
  3. Liang X, Zhao J, Chen Y, Bandara E, Shetty S. Architectural Design of a Blockchain-Enabled, Federated Learning Platform for Algorithmic Fairness in Predictive Health Care: Design Science Study. Journal of Medical Internet Research 2023;25:e46547 View
  4. Pelc M, Vilimkova Kahankova R, Blaszczyszyn M, Mikolajewski D, Konieczny M, Khoma V, Bara G, Zygarlicki J, Martinek R, Gupta M, Gorzelanczyk E, Pawłowski M, Czapiga B, Zygarlicka M, Kawala-Sterniuk A. Initial study on an expert system for spine diseases screening using inertial measurement unit. Scientific Reports 2023;13(1) View
  5. Guan B, Yu L, Li Y, Jia Z, Jin Z. Assessment of patients with Parkinson’s disease based on federated learning. International Journal of Machine Learning and Cybernetics 2024;15(4):1621 View
  6. Giuffrè M, Shung D. Harnessing the power of synthetic data in healthcare: innovation, application, and privacy. npj Digital Medicine 2023;6(1) View
  7. Singh A, Bansod G, Mahajan M, Dietrich P, Singh S, Rav K, Thissen A, Bharde A, Rothenstein D, Kulkarni S, Bill J. Digital Transformation in Toxicology: Improving Communication and Efficiency in Risk Assessment. ACS Omega 2023;8(24):21377 View
  8. Shao L, Chen B, Zhang Z, Zhang Z, Chen X. Artificial intelligence generated content (AIGC) in medicine: A narrative review. Mathematical Biosciences and Engineering 2024;21(1):1672 View
  9. Kisten M, Ezugwu A, Olusanya M. Explainable Artificial Intelligence Model for Predictive Maintenance in Smart Agricultural Facilities. IEEE Access 2024;12:24348 View
  10. Meiser M, Zinnikus I. A Survey on the Use of Synthetic Data for Enhancing Key Aspects of Trustworthy AI in the Energy Domain: Challenges and Opportunities. Energies 2024;17(9):1992 View
  11. Saeedi M, Gorji H, Vasefi F, Tavakolian K. Federated Versus Central Machine Learning on Diabetic Foot Ulcer Images: Comparative Simulations. IEEE Access 2024;12:58960 View

Books/Policy Documents

  1. Sindiramutty S, Jhanjhi N, Tan C, Yun K, Manchuri A, Ashraf H, Murugesan R, Tee W, Hussain M. Cybersecurity Issues and Challenges in the Drone Industry. View
  2. Ajalkar D, Sharma Y, Shinde J, Nayak S. Applying Machine Learning Techniques to Bioinformatics. View
  3. Kumar M, Kumar A, Bhargava M, Singh R, Shukla A, Shukla V. Cryptology and Network Security with Machine Learning. View