Submission Details
| 510(k) Number | K220598 FDA.gov |
| FDA Decision | Cleared SESE |
| Date Received | March 02, 2022 |
| Decision Date | August 24, 2022 |
| Days to Decision | 175 days |
| Submission Type | Traditional |
| Review Panel | Radiology (RA) |
| Summary | Summary PDF |
K220598 is an FDA 510(k) clearance for the AutoContour Model RADAC V2, a Radiological Image Processing Software For Radiation Therapy (Class II — Special Controls, product code QKB), submitted by Radformation, Inc. (New York, US). The FDA issued a Cleared decision on August 24, 2022, 175 days after receiving the submission on March 2, 2022. This device falls under the Radiology review panel. Regulated under 21 CFR 892.2050.
| 510(k) Number | K220598 FDA.gov |
| FDA Decision | Cleared SESE |
| Date Received | March 02, 2022 |
| Decision Date | August 24, 2022 |
| Days to Decision | 175 days |
| Submission Type | Traditional |
| Review Panel | Radiology (RA) |
| Summary | Summary PDF |
| Product Code | QKB — Radiological Image Processing Software For Radiation Therapy |
| Device Class | Class II — Special Controls |
| CFR Regulation | 21 CFR 892.2050 |
| Definition | To Provide Semi-automatic Or Fully-automated Radiological Image Processing And Analysis Tools For Radiation Therapy. Software Implementing Artificial Intelligence (ai) Including Nonadaptive Machine Learning Algorithms Trained With Clinical And/or Artificial Radiological Images. In These Devices, The Algorithm Training Images Typically Impact Device Performance. Ai Based Radiological Image Processing Software Is Intended To Be Used In The Workflow Of Radiation Therapy. Adaptive Ai Algorithms Are Not Within The Scope Of This Product Code. Primary Radiation Dose Calculation Or Plan Optimization For Treatment Planning Are Not Within Scope Of This Product Code. |