{"skill":{"slug":"dicom-anonymizer","displayName":"Dicom Anonymizer","summary":"Batch anonymize DICOM medical images by removing patient sensitive information (name, ID, birth date) while preserving image data for research use. Trigger w...","tags":{"latest":"0.1.0"},"stats":{"comments":0,"downloads":342,"installsAllTime":0,"installsCurrent":0,"stars":0,"versions":1},"createdAt":1773884349232,"updatedAt":1778492018600},"latestVersion":{"version":"0.1.0","createdAt":1773884349232,"changelog":"Initial release of dicom-anonymizer: a tool for batch anonymization of DICOM medical images.\n\n- Removes or replaces PHI (e.g., patient name, ID, birth date) while preserving image data for research.\n- Supports single-file and bulk directory processing via CLI and Python API.\n- Offers configurable anonymization strategies (removal, hashing, or replacement) and preserves study linkage with pseudonyms if desired.\n- Generates comprehensive audit logs for compliance and supports HIPAA Safe Harbor standards.\n- Includes options to retain selected tags, remove private/unknown tags, and validate output DICOM files.\n- Designed for research sharing; manual review still required for full compliance (does not remove burned-in pixel annotations).","license":"MIT-0"},"metadata":{"os":null,"systems":null},"owner":{"handle":"aipoch-ai","userId":"s17fjw78yq6wtd4ep6zsaxwrn983hznr","displayName":"AIpoch","image":"https://avatars.githubusercontent.com/u/258999481?v=4"},"moderation":{"isSuspicious":true,"isMalwareBlocked":false,"verdict":"suspicious","reasonCodes":["suspicious.llm_suspicious"],"summary":"Detected: suspicious.llm_suspicious","engineVersion":"v2.4.24","updatedAt":1778492018600}}