Heartflow is the global leader in AI-driven coronary artery disease (CAD) management, transforming how CAD — the world’s leading cause of death — is diagnosed and treated. Our advanced technology generates personalized, precision 3D heart models from a single CT scan, providing clinicians with the clarity and confidence to deliver earlier, more effective treatments — transforming CAD into a disease that can be managed for life.
Heartflow One is the only complete, non-invasive, precision coronary care platform providing patient insights throughout the guideline-directed coronary CTA pathway. The AI-driven platform — including Roadmap™ Analysis, FFRct Analysis and Plaque Analysis — is supported by the ACC/AHA Chest Pain Guideline and backed by more than 600 peer-reviewed publications.
With over 500,000 patients treated, more than 1,400 leading institutions adopting our solution, and 99.5% of U.S. lives covered — Heartflow is redefining the standard of coronary care. We're a global company, with employees across the United States, Europe and Japan. Our headquarters are in San Francisco, California, with additional offices in California, Texas, the UK and Japan.
We believe CAD shouldn’t be a silent threat. We’re changing the story of CAD by making it screenable, diagnosable, and manageable — empowering clinicians to save lives and giving patients more time for what matters most.
At Enlitic, we believe that the power of artificial intelligence can transform healthcare by enabling effective data management and improving clinical workflows.
Our mission at Enlitic is to intelligently manage healthcare data using the power of artificial intelligence to expand capacity and improve clinical workflows and create a foundation for a real-world evidence medical image database for healthcare providers.
By standardizing DICOM studies and creating a consistent nomenclature, radiologist workflow is improved and the promises of PACS are finally realized. Enlitic is reclaiming radiologists’ time and improving data quality that has impacts on downstream workflows. Our solutions help radiologists be more efficient within the radiology workflows.
ENDEX, for data standardization, empowers researchers to overcome the complexities of medical imaging data and simplify data processing.
ENCOG addresses this issue by intelligently removing PHI while retaining crucial clinically relevant information. This unique approach offers several benefits to researchers.
Your PACS can only work with the data it receives. Too often the inputs are inconsistent, inaccurate or missing and this impacts the outputs. Even more often administrators are called upon to fix mundane data issues that could be easily resolved with some level of data governance.
PACS administrators will have more time to maintain the PACS and deploy new AI algorithms in minutes. Radiologists become more efficient as they no longer have broken hanging protocols and misrouted studies. The IT team will have less worry about network capacity. You and your team can create additional revenue streams while saving in radiology and technology departments.
Enlitic is focused on developing tools that solve the longstanding challenges in radiology.
Qure.aiis a health tech company that uses deep learning and Artificial Intelligence (AI) to make healthcare more accessible and equitable for patients worldwide. Our solutions power the efficient identification and management of Tuberculosis (TB), Lung Cancer and Stroke to support clinicians and propel developments in the pharmaceutical and medical device industries. We empower healthcare by helping to identify conditions fast, prioritize treatment planning and ultimately improve the quality of patient life.
Get contact details of over 700M profiles across 60M
companies – all with industry-leading accuracy. Sales and Recruiter users, try out our
Email Finder Extension.
Find business and personal emails and mobile phone numbers
with exclusive coverage across niche job titles, industries, and more
for unparalleled targeting. Also
available via our
Contact Data API.