Viz.ai targets pulmonary care gaps with workflow suite
Viz.ai launched Viz Pulmonary Suite, an AI-powered platform for pulmonary embolism, COPD, and lung nodule workflows. The suite connects imaging findings, EHR data, patient summaries, guideline surfacing, and follow-up coordination.
Viz.ai has launched Viz Pulmonary Suite, an AI-powered platform designed to help health systems coordinate care for pulmonary conditions.
The suite brings acute and chronic pulmonary workflows into a single platform, connecting imaging findings and EHR data with downstream clinical workflows. Viz.ai said the platform is intended to help clinicians identify patients earlier, reduce missed diagnoses, and limit treatment delays.
Pulmonary conditions covered in the suite include chronic obstructive pulmonary disease, lung nodules, and pulmonary embolism. The platform combines pulmonary-specific patient histories, clinical summaries, guideline surfacing, and care coordination tools, according to Viz.ai.
The company said fragmented care pathways remain a challenge for pulmonary teams. Patients may move through imaging, emergency care, acute-care visits, and outpatient follow-up without a unified workflow, increasing the risk that findings are not acted on or that referrals are lost.
Viz.ai cited referral leakage as one reason for the launch, noting that 55% to 65% of potential in-network referrals may be lost due to health system leakage. The company said the suite is designed to improve continuity across the patient journey by linking detection, documentation, decision support, and follow-up tasks.
The pulmonary suite includes Viz PE, the company’s pulmonary embolism module. Viz.ai said Viz PE has been shown in a single-center study to reduce time to treatment from 1.75 days to 0.56 days and lower in-hospital mortality among high-risk pulmonary embolism patients.
Pulmonary embolism is a natural fit for imaging-linked AI workflows because diagnosis often depends on CT pulmonary angiography and timely clinical escalation. Lung nodule management also depends heavily on imaging follow-up, where missed or delayed surveillance can affect care continuity.
“Pulmonary care breaks down not because we lack treatments, but because patients may be lost between moments of care,” said Tim Showalter, MD, chief medical officer of Viz.ai.
Viz.ai also cited broader pulmonary-care gaps. The company said nearly half of patients hospitalized for acute COPD exacerbations are readmitted within 30 days, up to 71% of clinically significant lung nodules may lack appropriate follow-up, and incidental pulmonary emboli can be missed on initial imaging.
The company will present the suite at the American Thoracic Society Annual Conference in Orlando, FL, from May 17 to 19. Its ATS programming includes a session on operationalizing AI-powered pulmonary care across the continuum.
Company:Viz.ai
Viz.ai coverage
About the author
RadiologySignal.com writersEditorial Team
Radiology Signal Staff covers developments across medical imaging, radiology AI, imaging informatics, clinical research, and radiology business. The team monitors primary sources, peer-reviewed studies, company announcements, society updates, and healthcare industry news to deliver concise reporting for imaging professionals.
More from this section

SimonMed highlights role in large global X-ray AI study
The study analyzed 258,373 X-rays from 100 medical centers across 26 countries and evaluated the Rayvolve AI Suite across trauma, chest, measurement, and bone age use cases.

Former RadNet CTO joins Neurophet as scientific advisor
The neuroradiologist and former RadNet CTO will advise the neuroimaging AI company as it seeks to strengthen clinical validation and U.S. market expansion.

CMR-CLIP AI model interprets cardiac MRI scans with high accuracy
The model was trained on more than 13,000 cardiac MRI studies and linked moving heart images with clinical radiology reports, according to the research team.

Flywheel integrates with AWS HealthImaging
The integration combines AWS HealthImaging’s cloud-based DICOM storage with Flywheel’s imaging data orchestration tools for clinical trials, research, and AI development.

GE HealthCare opens free HelloAI training program
The company is making the HelloAI Professional track available at no cost, adding more than 20 hours of on-demand healthcare AI education.

Siemens links coronary CT planning to cath-lab PCI guidance
The system combines Syngo.CT Coronary Cockpit and Syngo PCI Connect to transfer preprocessed coronary CT angiography data into the cath lab.

AZmed gets FDA clearance for expanded AZtrauma scope
The clearance expands AZtrauma beyond fracture detection to include joint effusions and dislocations on X-rays in adults and children ages 2 years and older.

HOPPR launches mammography vision-language model
The HOPPR EB 2D Mammo Narrative Model generates structured narrative output from 2D mammography images for breast imaging workflow applications.

DeepHealth secures AI clearances for neuro, prostate tools
The regulatory milestones cover Neuro Suite Brain Health and Brain Age, LumbarMR, and Prostate AI within DeepHealth’s clinical AI portfolio.

Philips SmartIQ aims to cut coronary imaging radiation dose
The coronary imaging technology adds an ultra-low-dose protocol for Philips’ Azurion image-guided therapy platform and is available in Europe and selected markets.

Azra AI, RevealDx partner on lung nodule AI
Azra AI will integrate RevealAI-Lung into its incidental findings and oncology workflow platform.

Accuro XV clearance gives Rivanna path into MSK ultrasound
Rivanna received FDA 510(k) clearance for Accuro XV, a diagnostic ultrasound system for musculoskeletal imaging. The company is also developing AI tools for bone visualization and fracture detection.