Role of AI in Transforming Medical Science

Fremont, CA: AI is set to transform the field of medical practices, powered by a blend of ML algorithms and the analysis of recurring health patterns. Although medicine and ML may seem unrelated at first glance, their integration leads to remarkable and advantageous applications that could revolutionize healthcare in the coming years. Since its inception, AI has been linked to various uses, particularly in deep learning algorithms that identify disease patterns and potential health risks.

Google, in its recent quest to develop AI for healthcare applications, was able to train AI models to detect the spread of breast cancer tissues on a microscopic specimen. Surprisingly, the AI was able to predict the infection rate faster than human pathologists. On similar lines, studies have shown significant success in containing diabetes by learning the food habits of an individual and the severity of the disease through retinal scans.

Owing to multiple data sets fed into AI models, machine learning algorithms can predict similarities within the data sets and arrive at various possibilities by cross-referencing inter-relatable data. In a recent study, AI was used to successfully diagnose the likelihood of tuberculosis through X-ray image analysis with incredible accuracy. Researchers trained the AI model to learn from similar X-ray patterns and compare the newly fed samples for resembling patterns. Researchers concluded that automated detection could be a breakthrough in the field of medicine, which would extend the possibility for early containment and cure.