Vision AI for Healthcare and Medicine
Explore how hospitals, imaging centers, radiation oncology practices, and payers deploy Vision AI across CT, MRI, X-ray, mammography, PET/SPECT, interventional radiology, and linear accelerators.
Add a real-time positioning layer to every patient on every modality with Vision AI for patient positioning. Built for the hospitals where one CT chest retake means eight extra chest X-rays worth of dose to a patient who already came in sick, one linac fraction that misses the tumor and hits an organ at risk hurts a real patient, one repeat mammography compression is one more painful compression, one missed patient ID at scanner setup can mean the wrong study on the wrong record, and one throughput hit at the busiest CT cascades into HCAHPS complaints and schedule slippage. Whether you're positioning patients for CT, MRI, X-ray, digital mammography, fluoroscopy, PET/SPECT, interventional radiology, or radiation therapy on linear accelerators, Roboflow extends positioning coverage to every scan and every treatment fraction, on the depth and RGB cameras your suites already run.
Radiology Positioning: CT, MRI, X-Ray, Mammography, PET/SPECT:
Radiation Therapy: Markerless SGRT, DIBH Gating, and ISO Alignment:
Patient ID, Workflow Integration, and Compliance:
Bring intelligence to every patient today. Stop retakes, mispositions, and wrong-patient events from becoming radiation dose to the patient, linac fractions that miss the tumor, HCAHPS complaints, or HIPAA reportable events.
What is patient positioning with Vision AI?
Patient positioning with Vision AI uses computer vision models on RGB, depth, and time-of-flight cameras to detect patient landmarks (head, sternum, ISO center), track patient surface in real time against a planned reference from the planning CT and TPS, coach breath-hold and motion management, verify patient identity with wristband OCR, and reconcile positioning across CT, MRI, X-ray, mammography, PET/SPECT, interventional radiology, and radiation therapy on linear accelerators. The system integrates with PACS, EMR/RIS (Epic, Cerner, Meditech), TPS (Varian Eclipse, Elekta Monaco, RaySearch RayStation), and oncology information systems (Varian ARIA, Elekta Mosaiq) via DICOM, HL7 v2, FHIR, and IHE Radiology profiles. Hospitals, imaging centers, and radiation oncology practices use it to cut retakes and radiation dose, add markerless SGRT and DIBH gating, prevent wrong-patient wrong-study events, protect HCAHPS scores, and document compliance under HIPAA, FDA 510(k), IEC 60601-1, ISO 13485, ACR accreditation, NRC/IAEA, ASTRO, CMS, and Joint Commission surveys.
Can Vision AI hit sub-millimeter accuracy for markerless SGRT and DIBH gating?
Yes. Sub-millimeter markerless SGRT and DIBH gating on left breast SBRT is exactly where radiation oncology feels the most pressure, because DIBH spares the heart and LAD by pulling breast tissue off the chest wall, and a patient who drifts out of the breath-hold window during beam-on delivers dose to cardiac tissue rather than the tumor. Roboflow continuously reconstructs a patient-surface point cloud from depth and structured-light cameras above the couch, aligns it to the planned reference surface from the planning CT and TPS at every frame, and exposes a beam-gating signal the linac controller (Varian TrueBeam, Elekta Versa HD) can act on if the patient drifts out of the physicist-defined tolerance (typical 2-5 mm translation, 1-3 degree rotation). The honest tradeoff: a dedicated purpose-built SGRT system remains the reference for the initial commissioning baseline at most clinics, and Roboflow is positioned as the deep-learning positioning layer that scales across CT retake reduction, mammography, MRI patient comfort, wristband OCR, and interventional radiology on the same platform, so the hospital does not maintain a separate vendor stack per modality.
Does patient positioning support HIPAA, FDA 510(k), IEC 60601-1, DICOM, HL7, and ACR accreditation?
Yes. Roboflow models can be trained against your specific HIPAA and HITECH protections, SOC 2 Type II, FDA 510(k) premarket notification, IEC 60601-1 and 60601-1-2 (medical electrical equipment safety and EMC), IEC 62366 (usability engineering), ISO 13485 (medical device QMS), ISO 14971 (risk management), DICOM (including DICOM RT and Structured Reporting), HL7 v2 and FHIR, IHE Radiology profiles (SWF, PIR, XDS-I, RO-ILS, RO-SWF), ACR accreditation for CT, MRI, mammography, and radiation oncology, NRC and IAEA for radiation therapy, ASTRO clinical practice guidelines, CMS reimbursement documentation, and Joint Commission survey requirements. The system logs every positioning event with hashed patient ID, modality, protocol, reference surface, delta from reference, beam-gating events, operator ID, and timestamp against the acceptance criteria your medical physics and quality teams define, and produces audit-ready records for FDA 510(k) design history file evidence, ACR surveys, ASTRO APEx review, and CMS medical necessity documentation.
Can it integrate with our PACS, EMR, RIS, TPS, oncology information system, and hospital IT?
Yes. Roboflow Inference exposes a standard API and supports common hospital and radiology protocols. Customers integrate with PACS (Sectra, Merge/Change Healthcare, Agfa, Fujifilm Synapse, Philips IntelliSpace, GE Centricity, Carestream Vue), EMR/RIS (Epic Radiant, Cerner Millennium, Meditech Expanse, Allscripts), TPS (Varian Eclipse, Elekta Monaco, RaySearch RayStation, Brainlab Elements, Accuray Precision), oncology information systems (Varian ARIA, Elekta Mosaiq), image-guided surgery navigation (Medtronic StealthStation, Brainlab Curve, Stryker Q Guidance), and interventional radiology systems (Philips Azurion, Siemens ARTIS, GE Innova) through DICOM (including DICOM RT), HL7 v2, FHIR, IHE Radiology profiles, REST, MQTT, and OPC UA. Deployments run on-prem in the hospital data center, on the edge next to each scanner or linac, in a hospital-controlled VPC, or air-gapped, with per-event audit-trail records that support FDA 21 CFR Part 11 style attribution, FDA 510(k) design history file evidence, ACR accreditation, ASTRO APEx, and Joint Commission survey documentation.
