Although a number of AI studies have shown the potential for using AI to detect TB, these algorithms typically utilize only the frontal chest x-ray projections: the posteroanterior (PA) and the anteroposterior (AP) views. However, a research team led by Sivaramakrishnan Rajaraman, PhD, of the U.S. National Institutes of Health (NIH) trained ensembles of artificial intelligence (AI) algorithms — convolutional neural networks (CNNs) and vision transformers (ViTs) — that were able to take advantage of the diagnostic information contained in the lateral views.

“The main contribution of this…