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

Viewpoints and Perspectives (619) Viewpoints on and Experiences with Digital Technologies in Health (99) Security and Privacy of mHealth and uHealth (158) Data Science (357) Artificial Intelligence (2129) Machine Learning (2076) Advanced Data Analytics in eHealth (209)

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 (20) 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;1(2):73 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;5(4):3993 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
  9. Ribeiro A, Soler J, Corder R, Ferreira M, Heider D. From bites to bytes: understanding how and why individual malaria risk varies using artificial intelligence and causal inference. Frontiers in Genetics 2025;16 View
  10. Nair S, Boma N, Ravindran P, Shah C, Joseph L, Satish K, Antony E. The Bridge “Artificial Intelligence” Over the “Healthcare Quality” Lake. QAI Journal for Healthcare Quality and Patient Safety 2025;6(1):2 View
  11. Wilmes C, BSc A, Marres H, Wellenstein D, van den Broek G. A Systematic Review of the Clinical Impact of Implementing Artificial Intelligence in Upper Aerodigestive Tract Endoscopy. Head & Neck 2025;47(11):2998 View
  12. Fehse L, Tajabadi M, Martin R, Holzmann H, Heider D. gLinDA: A privacy-preserving, swarm learning toolbox for differential abundance analysis of microbiomes. Computational and Structural Biotechnology Journal 2025;27:3456 View
  13. Xu J, Cao S, Wang Z, Yu C, Zheng M. Decision-Making and Data Sharing in Smart Catering: An Evolutionary Game Approach. Computation 2025;13(10):235 View
  14. Fatemi M, Nasri S, Ghazinoory S. Anatomy of innovation biosphere in global AI landscape: Actors, interactions, and evolution. Journal of Engineering and Technology Management 2025;78:101923 View
  15. Wang M, Chang W, Zhang Y. Artificial Intelligence for the Diagnosis and Management of Cancers: Potentials and Challenges. MedComm 2025;6(11) View
  16. Syangtan G, Manandhar S, Bhattarai M, Shah B, Singh M, Rayamajhee B, Adhikari A, Thapa K. Development of Data Transfer Ethics Framework (daTEF): A participatory approach to delivering evidence-based guidelines for healthcare data transfer. PLOS One 2025;20(11):e0336389 View
  17. Sahu R, Arora S, Kumar D, Agrawal A. Machine Learning for Predictive Modeling in Nanomedicine‐Based Cancer Drug Delivery. Med Research 2025 View
  18. Jancsura M, Bernstein I, Hansson S, Cantonwine D, Godfrey K, Stephenson J, Steegers-Theunissen R, Norris S, Heider D, Roberts J. Preconception health as a target for improved pregnancy outcomes: Where do we go from here?. Pregnancy Hypertension 2026;43:101395 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