RapidAI cuts post-processing
RapidAI shared a testimonial that a 700+ bed system cut CT post-processing time from 31 minutes down to 7 minutes after deploying Lumina 3D. (x.com). The case study framed the time savings as enabling higher throughput and faster patient access. (x.com)
RapidAI said a 700-plus-bed Midwestern health system cut average computed tomography post-processing time to 7 minutes from 31 minutes after deploying Lumina 3D. (rapidai.com) The company said the reduction came on head-and-neck computed tomography angiography studies, where technologists had previously spent 15 to 45 minutes per case building three-dimensional reconstructions by hand. (rapidai.com) Lumina 3D is software that automatically turns scan slices into rotating three-dimensional vessel views, curved planar reformats, and filtered thin images for clinicians reviewing stroke and other vascular cases. (rapidai.com) RapidAI received United States Food and Drug Administration 510(k) clearance for Lumina 3D on February 3, 2025, positioning the product as an automated replacement for manual reconstruction workflows in head-and-neck computed tomography angiography. (rapidai.com) In the hospital system cited by RapidAI, the company said the time savings added up to 72 hours of computed tomography technologist time in one month. RapidAI said that freed scanner capacity for more patients and reduced delays before radiologists could read studies. (rapidai.com) The pitch lands in a labor-constrained part of imaging. Time magazine, which included Lumina 3D on its 2025 Best Inventions list, said the United States faces shortages of neuroradiologists and qualified computed tomography technicians. (time.com) RapidAI’s own case study also tied automated reconstructions to billing rules, saying hospitals can use the software to help meet American College of Radiology and Centers for Medicare and Medicaid Services requirements for computed tomography angiography reimbursement. (rapidai.com) The evidence here is a vendor testimonial, not a peer-reviewed comparative trial, and RapidAI did not identify the hospital system by name in the materials it published. The company’s claim is specific on workflow time, but outside readers cannot independently verify the site’s case mix, staffing, or baseline process from the public post alone. (rapidai.com) Even so, the number RapidAI chose to highlight is simple: 24 minutes saved per case in a workflow that starts after the scan is done and before the clinician gets finished three-dimensional images. (rapidai.com)