The healthcare industry has always been a leader in innovation. The constant mutating of diseases and viruses makes it difficult to stay ahead of the curve, but with the help of artificial intelligence and machine learning algorithms, it continues to advance, creating new treatments and helping people live longer and healthier lives. A study published this week by The Lancet Digital Health compared the performance of deep learning--a form of artificial intelligence (AI)--in detecting diseases from medical imaging versus that of healthcare professionals, using a sample of studies carried out between 2012 and 2019. The study found that, in the past few years, AI has become more accurate of identifying disease diagnosis in these images and has become a more viable source of diagnostic information. According to the researchers, out of 14 studies that compared deep learning models and healthcare professionals within the same sample, the diagnostic performances were found to be equivalent.

The healthcare industry has always been a leader when it comes to innovation. The constant mutating of diseases and viruses make for a difficult industry to stay ahead of the curve, but with the help of artificial intelligence and machine learning algorithms, it continues to advance with creating new treatments and helping people live longer and healthier lives. A study released this week by The Lancet Digital Health examined all the data between 2012 and 2019 of testing that has been involved with artificial intelligence and deep learning in the discovery of disease diagnosis through medical imaging. The study found that AI has become more accurate in the past years of identifying disease diagnosis in these images and has become a more viable source of diagnostic information. According to Lancet Digital, out of 14 studies conducted, the systems were able to correctly identify disease 87% of the time while healthcare professionals were correct 86% of the time.