Clinical Feed
Retraction: An Inherently Interpretable Deep Learning Model for Local Explanations Using Visual
PLOS ONE reports a retraction for a study on an inherently interpretable deep learning model for local explanations using visual concepts.
- Published: 02 Apr 2026, 02:00 pm (UTC)
- Updated: 03 Apr 2026, 12:23 pm (UTC)
- Specialty: Research Highlights
- Source: PLOS ONE (Medicine)
GIST
PLOS ONE (Medicine) published a clinical update in Research Highlights on 02 Apr 2026. The item focuses on Retraction: An inherently interpretable deep learning model for local explanations using visual concepts. Review the original article for the full source wording and details.
Clinical Editorial
PLOS ONE (Medicine) published a clinical update in Research Highlights on 02 Apr 2026. The item focuses on Retraction: An inherently interpretable deep learning model for local explanations using visual concepts. Review the original article for the full source wording and details.
Original source: https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0346306