At a glance
- Company
- Lunit
- Ticker
- KRX: 328130.KQ
- Announcement
- Partnership
- Location
- Seoul, South Korea
Key figures
- Clinics in Salud Digna network
- over 230 clinics
- Patients treated annually
- approximately 20 million
- Deidentified imaging records
- millions
People
- Juan Carlos OrdoñezCEO of Salud Digna
- Brandon SuhCEO of Lunit
Products and programs
AI-powered chest X-ray and mammography analysis solutions to be deployed across one of Mexico's largest healthcare networks
SEOUL, South Korea, November 27, 2024 -- Lunit (KRX:328130.KQ), a leading provider of AI-powered solutions for cancer diagnostics and therapeutics, today announced a strategic partnership with Salud Digna, one of Mexico's largest medical networks. Under the agreement, Lunit will deliver its AI-powered medical imaging solutions to Salud Digna's extensive network of over 230 clinics across Mexico and Central America.
The deal centers on two of Lunit's flagship products:
- Lunit INSIGHT CXR, an AI-powered chest X-ray analysis solution
- Lunit INSIGHT MMG, an AI software for mammography analysis
These cutting-edge tools are set to enhance diagnostic capabilities for Salud Digna, which treats approximately 20 million patients annually.
As part of the arrangement, Lunit will also gain access to Salud Digna's substantial database, comprising millions of deidentified 2D mammography and chest X-ray images. This high-quality data will help Lunit refine its AI algorithms, particularly for the Latin American market.
"By integrating Lunit's advanced AI into our healthcare network, we aim to improve the accuracy and efficiency of our imaging services," said Juan Carlos Ordoñez, CEO of Salud Digna. "Together, we are committed to leveraging our extensive data resources to drive innovation in medical imaging and ultimately improve patient care across the region."
The collaboration extends beyond a traditional supplier-client relationship. Lunit and Salud Digna will engage in joint research projects, leveraging the shared data to further advance medical imaging AI technology and showcase the impact of this partnership on healthcare delivery in Mexico and across the Latin American region.
"This multifaceted partnership with Salud Digna marks a milestone in our global expansion and our mission to improve patient outcomes through AI," said Brandon Suh, CEO of Lunit. "By combining our cutting-edge AI technology with Salud Digna's vast clinical experience and extensive patient data, we're not just supplying software – we're collaborating to advance medical imaging AI technology tailored to the needs of patients in Mexico and potentially the broader Latin American region."
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Questions around this news
What does the partnership between Lunit and Salud Digna cover?
The agreement brings Lunit’s AI tools for chest X-ray and mammography analysis to Salud Digna’s clinic network in Mexico and Central America. The organizations also plan to conduct joint research using shared imaging data. The release says the collaboration is intended to support diagnostic services and further develop medical imaging AI for the region.
How will Salud Digna’s imaging data be used?
Lunit will have access to millions of deidentified mammography and chest X-ray images held by Salud Digna. The release says the data will support refinement of Lunit’s algorithms, especially for the Latin American market, and will also be used in joint research. Deidentification means personal identifiers are removed or obscured to reduce the ability to link records to individuals.
How can AI support chest X-ray interpretation?
AI tools for chest X-rays analyze image patterns that may be relevant to a clinician’s assessment. Depending on the system, they can flag areas for review or help prioritize cases. These tools are intended to support clinical workflows; medical professionals remain responsible for interpreting findings in the context of a patient’s symptoms and other information.
What is mammography used to examine?
Mammography is an imaging method that uses low-dose X-rays to examine breast tissue. It is commonly used in breast cancer screening and may also help assess a breast concern. An image analysis system can assist with reviewing the images, but it does not replace evaluation by qualified healthcare professionals or other tests when needed.
Earlier from Lunit
- Lunit Announces Collaboration with AstraZeneca to Develop AI-Powered Digital Pathology Risk Assessment Tools for NSCLC
- Lunit Shows Promise of AI in Predicting Immunotherapy Response for Rare Cancer Patients at SITC 2024
- Lunit AI Predicts Breast Cancer Risk Up to 6 Years in Advance
- Lunit Joins Roche's Digital Pathology Open Environment to Advance Cancer Biomarker Testing
- Immune Phenotyping Identified as Promising Predictive Biomarker by Lunit AI in Biliary Tract Cancer - New publication in CCR
