직업

Radiologic Technologists and Technicians

20개의 스킬

AI에게 물어보기

20개의 스킬

직업

Radiologic Technologists and Technicians

20개의 스킬

AI에게 물어보기

20개의 스킬

Interventional Tech

Certified Interventional Radiology Technologist (CIT, RCIS) with 12+ years in cath lab, interventional radiology, and neurointerventional procedures. Use when: interventional radiology, catheterization, angiography, imaging, IR.

theneoai44

전산화학

Multimodal Medical Imaging

Analyzes medical images (X-ray, MRI, CT) using multimodal LLMs to identify anomalies and generate reports.

mdbabumiamssm24

실험실 도구

Managing Radiation Dose

Tracks and optimizes radiation exposure using reference levels and ALARA principles. Use when monitoring radiation dose, optimizing CT protocols, or documenting dose reduction efforts.

CaseMark12

실험실 도구

Managing Contrast Reactions

Guides contrast reaction grading, treatment, and premedication protocols for future studies. Use when managing contrast reactions, planning premedication, or documenting adverse contrast events.

CaseMark12

프로젝트 관리

Tracking Incidental Findings

Manages incidental finding follow-up using ACR White Paper recommendations. Use when tracking incidentalomas, scheduling follow-up imaging, or managing unexpected findings.

CaseMark12

웰니스 및 건강

Medical Image Annotator

Assist radiologists by highlighting regions of interest in medical imaging scans

Eli-yu-first4

전산화학

Ai Detection Pipeline

Integrate AI detection into PACS workflow. Also use when setting up, configuring, or optimizing AI detection systems for medical imaging. Also covers Aidoc, Nvidia Clara, Zebra Medical, MaxQ AI, and Qure AI integration.

aizech1

디버깅

Modality Detection

Auto-detect imaging modality (CT, MRI, X-ray, US, etc.) from user input, DICOM file headers, or file analysis. Also use when the user mentions "what modality", "detect from file", "identify imaging type", or needs to classify imaging studies. For PACS queries, see pacs-workflow.

aizech1

데이터 엔지니어링

Pacs Workflow

Query PACS, retrieve studies, manage worklists, and integrate with PACS workflows. Also use when the user needs to interact with picture archiving systems, search for imaging studies, retrieve DICOM data, or manage radiologist worklists. For DICOMweb REST queries, see dicom-web-query.

aizech1

Web3 도구

CT Bag Generator

Generate 3D CT scan visualizations of bags and personal items in airport screening trays using Blender MCP. Supports varied container types (carry-on suitcases, backpacks, purses, laptop bags, duffel bags) and loose tray items (watches, phones, laptops, belts, shoes). Creates realistic randomized packing with CT density-based materials, and optionally voxelizes to raw volume data for DICOS export. Use when the user asks to: create a bag scan, generate a CT bag, build a screening scene, make a bag in Blender, simulate an airport X-ray/CT scan, add items to a bag, voxelize a Blender scene, or generate screening training data. Requires Blender MCP connection.

jpfielding1

미디어

Image Quality Audit

Assesses medical image quality against clinical standards and identifies optimization opportunities. Use when user mentions "image quality audit", "artifact review", "dose analysis", "protocol deviation", "quality metrics", "diagnostic adequacy", or "technique optimization".

aizech1

과학 컴퓨팅

Scientific Medical Imaging

Medical imaging skill. DICOM processing, image segmentation (U-Net), classification, registration, radiomics feature extraction, and clinical imaging pipeline development.

nahisaho0

테스팅

シナリオテスト設計・実行・コード化スキル

Playwright を使ったシナリオテストの設計・実行・コード化を一気通貫で支援するスキル。ユーザーと対話しながらテストケースを洗い出し、Playwright CLI で手動検証を行い、シナリオ確定後にテストコードを自動生成・リファクタリング・ lint チェックまで実施する。生成したテストは `bun e2e` で繰り返し実行可能な状態にセットアップする。以下のようなリクエストで必ずこのスキルを使用すること： - 「シナリオテストを作りたい」「E2E テストを作成して」「テストケースを洗い出して」 - 「○○のシナリオテストを書いて」「○○の操作をテスト化して」 - 「Playwright でテストを作って」「ブラウザテストを自動化して」 - 「テストシナリオを設計して」「テストケースを考えて」 - 「E2E テストを実行して」「シナリオテストを回して」 - 「テストコードを生成して」「手動テストを自動化して」 - シナリオテスト・ E2E テスト・ブラウザテストの設計・作成・実行に関するあらゆるリクエスト

takimoto-sketch0

디버깅

Autopilot Health

Check health of all 4 CT scanner nodes — iPad UI, Pi Camera, CT-PC API, and Health Dashboard.

Threedreamz0

CI/CD

Autopilot Scan

Run a full 7-step CT scan workflow from iPad or CLI via the Leitfaden pipeline.

Threedreamz0

프로젝트 관리

Autopilot Status

Show CT scanner ecosystem overview — running services, scan history, queue, and worker time logs.

Threedreamz0

문서

DICOM Medical Imaging Analysis

Analyze medical DICOM imaging data (MRI, CT, X-ray) from any source — a CD/DVD, USB drive, or local directory. Use this skill whenever the user mentions an MRI scan, CT scan, DICOM files, a medical CD, a radiology disc, or wants to understand, view, or report on any medical imaging study. The skill handles the full pipeline: discovering the data, rendering slice images, analyzing findings across all sequences, and generating structured reports in plain or clinical language. Invoke this skill proactively if the user mentions any of: "MRI", "CT scan", "DICOM", "radiology CD", "medical scan", "shoulder MRI", "brain scan", "x-ray disc", "my doctor gave me a CD", "scan results", or similar.

yamz80

지식 베이스

Organize Scan

Route scan-type organization tasks to the appropriate sub-skill. Use when the user asks to "organize scans", "process medical scans", or any scan-based file organization.

akarelin0

데이터 엔지니어링

Tcia Cicadas Skill

Guide users through creating comprehensive dataset descriptions using the Cancer Imaging Checklist for DAta Sharing (CICADAS).

kirbyju0

디버깅

Healthcare Imaging Solutions on Snowflake

**[REQUIRED]** Use for ALL DICOM medical imaging tasks on Snowflake. This is the entry point for healthcare imaging solutions combining platform skills with clinical imaging workflows. Triggers: DICOM, medical imaging, radiology, imaging pipeline, PACS, imaging viewer, imaging AI, imaging governance, HIPAA imaging, clinical images, pathology images, imaging metadata, imaging ML, imaging model, imaging analytics, healthcare imaging, imaging data lake, imaging FHIR, imaging study, imaging series, data model knowledge, DICOM schema reference, model repository.

sfc-gh-rraman0