Lung cancer
Lung cancer results in over 1.7 million deaths annually, surpassing breast, prostate, and colorectal cancers as the deadliest cancer worldwide and ranks as the sixth most common cause of death globally, according to the WHO. Despite the challenges associated with lung cancer, early detection and intervention significantly improve patient outcomes. However, a large majority of lung cancers are not diagnosed until advanced stages.
ARI, in collaboration with Google Health, has created a groundbreaking AI-powered solution for the early detection of lung cancer. This innovative technology leverages advanced machine learning algorithms to analyse CT scans, providing radiologists with a more accurate and efficient means of identifying potential malignant nodules.
The AI model can identify subtle malignant tissue that may be overlooked by human radiologists. By analysing multiple CT scans over time, the AI model can predict the likelihood of malignancy based on the growth rate of suspicious lung nodules. It also provides a comprehensive 3D view of the lungs, enabling radiologists to visualise potential cancer areas more effectively, minimising the number of false-positive diagnoses, reducing unnecessary patient anxiety and invasive procedures.
Process Flow:
CT Scan Acquisition → Image Preprocessing → AI Model Analysis → Nodule Detection and Characterization → Risk Assessment → Result Generation → Radiologist Review → Follow-up and Treatment
3,00,000
ARI plans to offer 3 million free AI-powered screenings for tuberculosis, lung cancer, and breast cancer over the next 10 years.
.png)
.png)
.gif)
.png)
.png)
.png)