This paper is in the following e-collection/theme issue:

Viewpoints and Perspectives (557) Viewpoints on and Experiences with Digital Technologies in Health (88) Security and Privacy of mHealth and uHealth (140) Data Science (297) Artificial Intelligence (1644) Machine Learning (1663) Advanced Data Analytics in eHealth (158)

Published on in Vol 25 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/47540, first published .
Sharing Data With Shared Benefits: Artificial Intelligence Perspective

Sharing Data With Shared Benefits: Artificial Intelligence Perspective

Sharing Data With Shared Benefits: Artificial Intelligence Perspective

Authors of this article:

Mohammad Tajabadi1 Author Orcid Image ;   Linus Grabenhenrich2 Author Orcid Image ;   Adèle Ribeiro1 Author Orcid Image ;   Michael Leyer1, 3 Author Orcid Image ;   Dominik Heider1 Author Orcid Image
Article Authors Cited by (10) Tweetations (13) Metrics

Journals

  1. Bektaş M, Tan C, Burchell G, Daams F, van der Peet D. Artificial intelligence-powered clinical decision making within gastrointestinal surgery: A systematic review. European Journal of Surgical Oncology 2025;51(1):108385 View
  2. Tajabadi M, Martin R, Heider D. Privacy-preserving decentralized learning methods for biomedical applications. Computational and Structural Biotechnology Journal 2024;23:3281 View
  3. Tajabadi M, Heider D. Fair swarm learning: Improving incentives for collaboration by a fair reward mechanism. Knowledge-Based Systems 2024;304:112451 View
  4. Eltorai A, Parris D, Tarrant M, Mayo-Smith W, Andriole K. AI implementation: Radiologists' perspectives on AI-enabled opportunistic CT screening. Clinical Imaging 2024;115:110282 View
  5. Gu J, Zhang J, Zeng S, Zhang W, Xia R, Wang X, Zhou Q, Guo S, Wang H, Chen Z. Artificial intelligence in tumor drug resistance: Mechanisms and treatment prospects. Intelligent Oncology 2025 View
  6. Qiu Y, Hu Z. Data governance and open sharing in the fields of life sciences and medicine: A bibliometric analysis. DIGITAL HEALTH 2025;11 View
  7. Kim J, Soh J, Kadkol S, Solomon I, Yeh H, Srivatsa A, Nahass G, Choi J, Lee S, Nyugen T, Ajilore O. AI Anxiety: a comprehensive analysis of psychological factors and interventions. AI and Ethics 2025 View
  8. Yap X, Tu K, Chen N, Wang C, Chen C, Liu C, Eric Nya T, Kuo C. Developing a high-performance AI model for spontaneous intracerebral hemorrhage mortality prediction using machine learning in ICU settings. BMC Medical Informatics and Decision Making 2025;25(1) View

Books/Policy Documents

  1. Mondal H, Mondal S. Artificial Intelligence in Microbiology: Scope and Challenges Volume 1. View
  2. Talukdar J, Gogoi D, Sharma R. Revolutionizing Healthcare: Impact of Artificial Intelligence on Diagnosis, Treatment, and Patient Care. View