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  1. Screenathon 2.0: human–AI collaborative screening applied to patient-generated health data

    Article • Scientific Reports, March 2026, Springer Science + Business Media

    Felix Weijdema

  2. Screenathon 2.0: Human–AI Collaborative Screening Applied to Patient-Generated Health Data

    Article • January 2026, Center for Open Science

    Felix Weijdema

  3. The hunt for the last relevant paper: blending the best of humans and AI

    Article • European Journal of Psychotraumatology, October 2025, Taylor & Francis

    Felix Weijdema

  4. PTSD Symptom Trajectories in the Wake of Traumatic Events: a Systematic Review and Meta-Analysis of 20 Years of Research

    Article • June 2025, Center for Open Science

    Felix Weijdema

  5. The Hunt for the Last Relevant Paper: Blending the best of humans and AI

    Article • February 2025, Center for Open Science

    Felix Weijdema

  6. The Hunt for the Last Relevant Paper: Blending the best of humans and AI

    Article • January 2025, Center for Open Science

    Felix Weijdema

  7. Introducing the Screenathon Review: Crowdsourcing Literature Screening in Large-Scale Research Collaborations

    Article • December 2024, Center for Open Science

    Felix Weijdema

  8. Addressing the challenges of reconstructing systematic reviews datasets: a case study and a noisy label filter procedure

    Article • Systematic Reviews, February 2024, Springer Science + Business Media

    Felix Weijdema

  9. How open science can support the 3Rs and improve animal research

    Article • Research Ideas and Outcomes, August 2023, Pensoft Publishers

    Felix Weijdema

  10. Addressing the Challenges of Reconstructing Systematic Reviews Datasets

    Article • August 2023, Center for Open Science

    Felix Weijdema, Matthijs Oud

  11. AI-aided Systematic Review to Create a Database with Potentially Relevant Papers on Depression, Anxiety, and Addiction

    Article • August 2022, Center for Open Science

    Felix Weijdema, Dr. Bianca Kramer

  12. An open source machine learning framework for efficient and transparent systematic reviews

    Article • Nature Machine Intelligence, February 2021, Springer Science + Business Media

    Felix Weijdema, Dr Lars Tummers, Dr. Bianca Kramer