Synthetic Medical Imaging: How Deepfakes Could Improve Healthcare

Retrace, a leader in dental artificial intelligence and provider of digital infrastructure for U.S. healthcare, announces the publication, "A generative adversarial inpainting network to enhance prediction of periodontal clinical attachment level" in the August 2022 Edition of the Journal of Dentistry. This groundbreaking study for the first time demonstrates how the use of a novel Generative Adversarial Network (GAN), (U.S. Patent Numbers: US 11,217,350 B2; US 11,276,151 B2; US 11,398,013 B2), often referred to as a "Deep Fake", improves the diagnostic accuracy of AI algorithms in identifying periodontal disease. Medical and dental AI imaging algorithms are often trained on limited data sets from a limited number of providers, patients and imaging sources. As a result, when these algorithms are used in a general production environment, the algorithms struggle to achieve the same level of accuracy as the environment they were trained in. "Over the past few years, we have seen a sharp rise in dental and medical imaging AI companies; some who have even received FDA Clearance," said Dr. Ali Sadat, Founder and CEO of Retrace.