Lunit: AI-Powered Cancer Detection & Treatment Software
Lunit builds cutting-edge medical AI that detects cancer earlier and predicts treatment outcomes, empowering clinicians to make faster, more accurate decisions.
Overview
Lunit is a publicly traded medical AI company on a mission to help the world conquer cancer through advanced software solutions. Its flagship products, Lunit INSIGHT and Lunit SCOPE, tackle two critical stages of the cancer care journey: detection and treatment planning. Lunit INSIGHT specializes in radiology, using deep learning to scan chest x-rays and mammograms for abnormalities that can be nearly imperceptible to the human eye, achieving remarkable accuracy rates that support radiologists in catching disease earlier.
On the treatment side, Lunit SCOPE leverages AI to analyze pathology data and predict how a patient might respond to therapies like immunotherapy. This gives oncologists a data-driven edge when designing personalized treatment plans, potentially reducing trial-and-error approaches to cancer care. Together, these tools position Lunit as a comprehensive AI partner for hospitals, cancer centers, and research institutions looking to integrate machine learning into everyday clinical workflows.
With a global footprint spanning Seoul, Boston, Amsterdam, and Shanghai, Lunit combines rigorous clinical validation with real-world deployment experience, making its technology a trusted resource for medical professionals seeking to enhance diagnostic precision and treatment outcomes.
Capabilities & Features
- Medical AI
- Cancer screening
- Cancer diagnosis
- AI imaging
- Radiology AI
- Oncology AI
- Lung cancer
- Breast cancer
- Immunotherapy
- AI biomarker
- Chest X-ray
- Mammography
Core Features
- AI-powered cancer screening and diagnostic support
- Predictive analytics for treatment response and immunotherapy outcomes
- High-accuracy detection of subtle radiological abnormalities on chest x-rays
- Dedicated solutions spanning both radiology and oncology workflows
- Support for mammogram analysis to improve breast cancer screening
Use Cases
- Screening chest x-rays for early signs of lung cancer
- Predicting a patient's likely response to immunotherapy to guide treatment personalization
- Enhancing the accuracy and consistency of mammogram-based breast cancer screening
- Serving as a second reader to help radiologists catch subtle or overlooked abnormalities
- Supporting oncology research with AI-driven treatment response modeling
Best For
- Radiologists
- Oncologists
- Healthcare providers and hospital systems
- Medical researchers
- Cancer treatment centers
- Diagnostic imaging clinics
Pros
- •High reported accuracy (97-99%) in detecting abnormalities on chest x-rays
- •Covers both diagnostic (INSIGHT) and treatment planning (SCOPE) needs
- •Backed by a publicly traded company with established global offices
- •Helps catch abnormalities that may be invisible to the human eye
- •Supports multiple imaging types, including x-rays and mammograms
Cons
- •Pricing is not publicly listed, requiring direct contact for cost details
- •Likely requires integration with existing hospital IT and imaging systems, which can involve technical overhead
- •May require regulatory clearance or validation processes depending on the region before clinical use
- •Primarily designed for institutional use rather than individual practitioners or small clinics
How to Use
Start by visiting the Lunit website to explore the two core product lines: Lunit INSIGHT for radiology-based screening and Lunit SCOPE for oncology treatment prediction. Review the clinical evidence and use cases relevant to your specialty, whether that's lung cancer screening, mammography, or immunotherapy response prediction. From there, reach out directly to Lunit's team to discuss integration options, request a demo, or begin the process of incorporating their AI tools into your hospital's or research institution's existing systems.
Frequently Asked Questions
Connect & Contact
Pricing
Lunit does not publish standard pricing; interested healthcare organizations must contact the company directly to discuss licensing and integration costs.
Pricing data is provided as a summary. Visit the vendor website for full tier details.