Doctors are limited by their inability to process vast amounts of data the way a computer can. As technology improves, artificial intelligence has begun to catch up with doctors’ diagnostic abilities.

Researchers from the University of Adelaide’s School of Public Health and School of Computer Science, along with other Australian and international collaborators, used artificial intelligence in an analysis of patient chest images. The computer analysis predicted patients that would die within five years with a 69% accuracy, similar to that of the doctors. 

This unique study showed that artificial intelligence could analyse medical images to accurately assess the health of patients’ organs. It could be a groundbreaking step towards creating tailored treatment plans for each patient. The sample size for this study, which included only 48 patients, was extremely small. However, the AI was still able to discern patterns from the data it was given and predict medical outcomes.

One of the main strengths of AI is its ability to analyse large amounts of information. As digital health becomes mainstream, computers will be able to make more accurate medical predictions. Companies such as Apple continue to grow their digital health initiatives, which could lead to collections of data concerning patients’ day to day health. GlobalData estimates that as digital health and artificial intelligence continues to work its way into everyday diagnostics and medical assessments, hospital IT software markets will continue to grow. The market is estimated to reach a value of $54.0 billion by 2022.