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Chest-rAITM

AI-based Chest X-Ray Radiology suite for diagnosis and reporting intelligence

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Chest-rAITM

AI based Radiologist Assist Solution

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CARES

An AI-based Chest X-ray Analysis System for Radiologists

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  1. Home
  2. Solutions
  3. healthcare
  4. AI IN RADIOGRAPHY
  5. Chest-rAiTM

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-rAiTM

LTTS’ Chest-rAiTM 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-rAITM produces preliminary reports with findings adhering to the reporting practices of medical institutions.

chest-raiChest rAiTM

NOT JUST ENHANCED BUT INTELLIGENT CARE IS A REALITY WITH Chest-rAiTM

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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.

WHAT YOU GET WITH Chest-rAiTM

  • 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-rAiTM 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-rAiTM solution is hosted on Cloud, so the presence of Radiologist in the labs for reporting is not mandatory. Using Chest-rAiTM, 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-rAiTM 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 symptoms

Success Stories

AI for Radiology Automation
Development of Computer-Aided Diagnostics solution to assist Radiologists in analyzing Chest X Rays
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Radiographic Image Enhancement
Development of Image Enhancement module to enhance the image contrast so that relevant clinical information can be extracted from the X-Ray image
Explore More
Fluoroscopy Image Denoising
Developed a Spatio-temporal domain noise removal algorithm using consecutive frames which resulted in faster display of the denoised images
Explore More
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