In fact, clinicians who took a second look at x-rays using the deep learning software improved their sensitivity, on average, by 5.2%.
The novel method uses a deep neural network to improve fluorescence lifetime imaging, which allowed scientists at Rensselaer Polytechnic Institute to view molecular-level interactions within cells.
Besides pinpointing microfractures, the researchers believe combining color spectral CT imaging with their novel nanoparticles could help detect more serious problems such as heart blockages.
Not only can the metamaterial boost signal-to-noise ratio 10-fold, but It can reduce scan times, potentially making the modality more widely available for patients at lower costs.
"The 7T MRI scanner affords us new ways of viewing areas of damage in neurologic diseases such as MS that were not well seen using 3T MRI," corresponding author Jonathan Zurawski, MD, said.
Coronary artery calcium scoring has proven to be more predictive of cardiovascular risk than any other biomarker, but quantifying scores via imaging remains a time-consuming and labor-intensive task.
St. George University Hospitals Foundation Trust in the U.K. admitted that missed radiology findings contributed to the death of three patients at its hospital, according to reporting from Health Services Journal.