AI-Detection & recognition of lung cancer from CT images
Israel
Market: Medicine, Artificial Intelligence
Project stage: Prototype or product is ready
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Idea or High Level Concept
“Automatic and Real-Time System (S/W package) for detection & recognition of potentially problematic growths (such as cancer) from CT images, providing real-time alerts to inform decisions of medical experts.
Territory of the product or service implementation
Global (world)
Traction and Current Status
We finished the development
Problem or Opportunity
spesific marketing
Solution
“Automatic and Real-Time System (S/W package) for detection & recognition of potentially problematic growths (such as cancer) from CT images, providing real-time alerts to inform decisions of medical experts.
Customer Segments and Market
Growing use & Growing number of CT devices in the world (today are more then 60,000) – due to efficiency of coverage data and extremely reduction of radiation (today, most of the CT devices are with similar and less radiation level than the X-Ray devices!!!)
CT & technology vendors invest 100’s of Millions in S/W for Medical diagnostics
Now Days- No existing of reliable working solution for detection & identification of Lung Cancer from CT images that is trusted by physicians
The exiting solutions provide very high rate of False Positive!
Our Customer are: Hospital and Clinics, Health Care Service Providers, PACS companies (PACS - Picture Archiving and Communication System), CT vendors, Individual Customer (Second opinion) by the Internet.
Revenue Streams and Cost Structure
The Potential Market for Lung CT images is more than 3B$ a year.
(60,000 CT Machine exists (Today), About 50 CT Scans per Machine per day, 3,000,000 CT Scans per day)
Business Model, Chanells, Metrics
Example: 1$ - 3$ per Case (detection) >> 3,000,000$ - 90,000,000$ per day!!!
Assumption of 1% from the potential market is: 30,000$ - 90,000$ per day!!!
Lung CT is about 40%, .the next big portion is the Colon Detection capability
Competitors and Existing Alternatives
Philips
Advantages or differentiators
The ability to detect lung cancer -93%, False Positive – 0.4 on a case. It is better than any exist system in the world!!!
Presence of invention or patent
No
Money will be spent on
Complete the short procedure for FDA & CE (about 1 year) and In parallel, Finishing packaging the System.
Continue developing the Colon Detection capability - Start marketing the System