AI to predict Thyroid cancer through ultrasound

AI to predict Thyroid cancer through ultrasound

Artificial Intelligence, Information Technology, News, Software

Machine learning can be one of the most effective tools when it comes to helping the physicians & healthcare industry. Machine learning is a low cost & efficient tool. Through machine learning, one will be able to identify the correct method of diagnosis. At present might look difficult on how Artificial Intelligence can create a change in the Healthcare industry but it has created a lot of change in the industry with new techniques of diagnosis & efficient medical treatments. If we talk about the current scenario, ultrasounds can tell if a nodule looks suspicious and then the decision is made on how to perform this surgery. The determination of the exact scenario has stated that these technologies are way ahead and are capable of detecting anything. Many researchers were working day and night with efficient technology and personnel to improve the predictive power of the first-line diagnosis. To improve the power of first-line diagnosis and the ultrasound, many researchers are looking into machine learning or the power and accuracy of artificial intelligence models which are developed by Google. There was an application of a machine learning algorithm to ultrasound images of patients’ thyroid nodules to see whether the distinguishing patterns could occur. With the help of a preliminary set of images, the cancer was identified. From the labeled images the algorithm utilized machine learning technology to pick out patterns associated with low and high risks nodules. The internal system set identified the future set of images. The model developed was tested and was set on to see how it will identify the high and low-risk modules compared to molecular test results. The rate of success was 97% of all the time with an accurate result which led to the correct treatment for many people.