Udit Agarwal
Nowadays the health tech startup uses the AI to detect and diagnosis the X-Rays, CT-Scan, MRI’s and others. Its algorithms take less than 3 minutes to detect any of the abnormality with more than 95% accuracy.
Artificial Intelligence in healthcare is also expected to reach around $36.1 by the end of 2025.
AI is not only just enabling the researchers and scientists find the cures with the protein folding to beat cancer which also enables the gene editing with the CRISPR models but it is also supporting the need for the early disease detection, which is very much crucial in the preventive treatment.
AI is already being used to detect the early stage cancer symptoms, more accurately than any other traditional methods such as the human doctors peering over the X-Rays and MRI, looking for more number of anomalies.
Machine learning models and the neural networks can help the AI detect such anomalies in a fraction of the time taken by the doctors. This is also very much crucial in the Indian market, given the breadth of its population and the lack of any intensive diagnostics in many of the remote areas.
“The patient outcomes are highly dependent on the time is taken to initiate treatment. Patients treated within 90 minutes from stroke caused by traumatic brain injury (TBI) onset have an increased odds of improvement at 24 hours and favorable three month outcome compared to patients treated later than 90 minutes,” according to Prashant Warier, CEO of Qure.ai, which is working with Indian medical institutions and healthcare professions to enable AI-based disease detection for brain injuries.
Qure.ai which is a Mumbai based startups aims to fill the gap by applying the deep learning and AI technology to studying the radiology images for the accurate and quick diagnosis of diseases. The startup also claims its algorithm can detect the clinically prevent abnormal trauma finding from the MRI’s, CT-Scan and X-Rays in a fraction of the time that the doctors typically take.
