domains / families / science / pydicom
Python library for working with DICOM (Digital Imaging and Communications in Medicine) files. Use this skill when reading, writing, or modifying medical imaging data in DICOM format, extracting pixel data from medical images (CT, MRI, X-ray, ultrasound), anonymizing DICOM files, working with DICOM metadata and tags, converting DICOM images to other formats, handling compressed DICOM data, or processing medical imaging datasets. Applies to tasks involving medical image analysis, PACS systems, radiology workflows, and healthcare imaging applications. Reads, inspects, writes, transforms, and preflights local DICOM datasets and pixel data. Applies to DICOM metadata, transfer syntaxes, compression plugins, frames, private elements, JSON, and bounded de-identification review.
The K-Dense-AI copy is a highly specialized, security-focused skill that mandates strict PHI handling, specific version pins (pydicom 3.0.2), and a 'local-only' boundary. The other three copies (Vibe-Skills, medical-research-skills, OpenClaw-Medical-Skills) are nearly identical 'generalist' tutorials that explicitly encourage printing patient metadata (e.g., `print(ds.PatientName)`) and lack the safety constraints of the K-Dense version. Because the K-Dense version contains critical safety procedures (de-identification, UID mapping, supply chain security) that the others omit, and the others contain general visualization workflows (matplotlib, windowing) that the K-Dense version restricts or omits in favor of specific scripts, no single copy is a complete superset. Combining them allows for a skill that is both functionally comprehensive and safe.