Two burgeoning technologies have precision medicine on the cusp of a big breakthrough

The simultaneous advances of deep learning and radiomics may soon yield a single unified framework for clinical decision support that has the potential to “completely revolutionize the field of precision medicine.”

That’s the conclusion of two scholars at Johns Hopkins whose analysis of the technologies is running in the journal Expert Review of Precision Medicine and Drug Development.

PhD candidate Vishwa Parekh and radiological science professor Michael Jacobs, PhD, searched the literature for radiomics as well as deep learning and other AI-related terms, along with medical-imaging terminology such as multiparametric MRI, to examine how these research interests are being studied in the context of precision medicine.