Problem Statement:

India has 1 Radiologist for every 1 lakh people. As a result it is high burden and low resource situation. Currently our doctors have no mechanism to process more scans in shorter time. Secondly there is major productivity loss and bias in diagnosis due to burnout and stress. Patients from tier 2 and 3 cities have barely any exposure to trained radiologists thereby creating a major accessibility and availability issue of medical services.

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Solution

An AI based solution which analyses X-ray scans using Neural Networks and CNN was an ideal way of solving this problem. Teaming up with a group of young radiologists, we developed an end-to-end imaging and diagnosis solution for patients anywhere in India. Along with X-rays and images  our algorithm also makes of meta-data such as age, sex, symptoms, past history . Decision Trees and Rule based classification is being applied on the meta-data for augmenting our results thus creating better and close to clinical results. We are currently working on 1,00,000 images to classify different abnormalities of the lung.

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Lung Conditions Detected:

1. Covid-19

2. Tuberculosis

3. Lung Cancer

4. Pulmonary Effusion

5. Mass

6. Nodule

7. Pneumonia

8. Infiltration

9. Pluoral Thickening

10. Pneumothorax 

11. Cardiomegaly 

12. Atelectasis