TB - Understanding the major Challenge !

One of the major concerns in many developing countries such as India and Bangladesh is Tuberculosis. India bears the highest burden of tuberculosis (TB) globally, about 25% of all cases. According to reports, approximately 10 million people fall ill yearly with infectious diseases. However, only 6 million cases are identified, with the remaining 4 million being “missing”, which means that they are either undiagnosed, untreated or go unreported to the healthcare systems.

Innovation Breakthrough: Genki, a product of DeepTek, a firm that Dr. Amit Kharat and Ajit Patil co-founded, uses 10 million data points to analyze an X-ray of a potential patient and find any anomalies in under 60 seconds.

Their Goals: How does the technology work? What is its accuracy? And how can it reach the last mile in India?

This highlights a serious weakness in the medical system.The typical testing method takes weeks to obtain findings, making it impossible to approach patients immediately, which results in many people going untreated or going "missing." Understanding the critical delay between testing and test findings, DeepTek, a Pune-based business, has created a device that it claims can diagnose TB infections in a matter of seconds.  Our AI-based model, Genki, analyzes X-ray data after patients have them and, in 30 to 60 seconds, finds any irregularities that might be indicative of tuberculosis. The AI scans the chest X-rays, and results are received in as little as 60 seconds, depending on the CPU configuration and system core capacity at the van, camp, or hospital. In this manner, the patient can receive immediate information and be brought to therapy. After that, radiologists may carefully go over the data to verify if the infection is present, a step that would have taken weeks before.

By this entire case study we can conclude that  artificial intelligence can work wonders for healthcare as it leads to prompt diagnosis and cure from life threatening diseases.