What We Need Is More Radiologists on Ground
In most countries, there is a clear disparity in the demand and the availability of skilled Radiologists to meet the patient requirements. Statistics say that there is only one Radiologist for every 100,000 people in developing countries and one for every 10,000 in the developed countries. The situation is bound to get worse, as the demand for Radiology increases by the day for correct diagnosis and prognosis.
But, Is There an Alternative? Presenting Chest-rAi™
LTTS’ Chest-rAi™ is an AI based Chest X-Ray Radiology suite for symptom detection, localization and intelligence reporting. The suite has the potential to detect ~34 of the most common lung-related abnormalities. This translates to >85% of diagnosis encountered at a medical institution. Chest-rAI™ produces preliminary reports with findings adhering to the reporting practices of medical institutions.
Not Just Enhanced but Intelligent Care Is a Reality With Chest-rAi™
- Inbuilt ASK AI Button: Helps analyze the Chest X-ray and produces the AI based findings and impression as well as respective tags. Radiologists can alter the results if they want to modify them.
- Intuitive user interface and controls: Zoom, contrast and brightness features for better picture investigation.
- Contextual Report Generation: In both, the web and mobile applications, the reports can be shared with anyone on their preferred sharing platform.
- Cloud Solution: AI Solution can be integrated with existing workflows and App environments and can be accessed through web or mobile.
AI in Radiology
What You Get With Chest-rAi™
Reduced Treatment Enrolment Time by 50%
On an average, 60 to 70% of the X-Rays are normal X-rays. However, in manual operation and inspection, a Radiologist spends almost equal amount of time for analyzing and report writing. Chest-rAiTM aids the Radiologists to separate out Normal Vs Abnormal X-rays. It can bring down the estimated time for evaluating an X-ray by at least 50%, thereby enabling the Radiologists to use their time efficiently and optimally.
Increased Efficiency by 5-6%
With defined input data set, Chest-rAi™ can be used to train the Radiologists on individual or combination symptom detection. This can help in avoiding wrong reporting or missing any symptoms during normal medical practice. Also, with the inbuilt Ask AI button, the chances of the detecting the symptoms or new cases in the first instance increase by 5-6%.
Supports WFX (Work from Anywhere)
Chest-rAi™ solution is hosted on Cloud, so the presence of Radiologist in the labs for reporting is not mandatory. Using Chest-rAi™, Radiologist can report the X-rays from any location with the help of internet support. This enables WFX (Work from Anywhere) which is more than relevant in current pandemic situation.
Accurate and Versatile
Chest-rAi™ can identify 34 different types of lung symptoms from Chest X-Ray images using AI and correlate them with 15+ types of lung diseases. Current accuracy of the solution is ~92.3% (AUC, Sensitivity, Specificity) for prominent 10 symptom
Tell Us What You’re Looking For in Imaging in Medtech
Handpicked for You
Success Stories
Clinical Data Integration and Interoperability
Life Science companies seeking to simplify their clinical data processes & workflows can often feel overwhelmed by the massive amounts of data and the various technologies used for ag...
Know More