The findings, published in Scientific Reports, may be particularly helpful for dementia patients, who have been shown to preserve some form of musical memory while most other recollections fade.

Facebook and NYU Langone Health announced their commitment to making MRI scans more efficient through the use of AI more than one year ago, and a new story from Popular Science provides a glimpse into what the two have been up to.

“Although this study evaluates a small subset of astronauts, it's significantly larger than any previously published study of its kind involving astronauts or Russian cosmonauts," study author Donna R. Roberts said.

“Machine learning is a low-cost and efficient tool that could help physicians arrive to a quicker decision as to how to approach an indeterminate nodule,” lead author of the study, John Eisenbrey, PhD, said.

“This technology has incredible potential to improve care, whether it is by better training doctors to perform procedures or helping patients know what to expect when they arrive at the hospital,” Ziv Haskal, creator of the technology said.

Pairing multispectral optoacoustic tomography with ultrasound provided biomarker information that may better diagnose patient's with autoimmune diseases and thyroid nodules.

The commercially available algorithm helped residents improve their sensitivity at spotting abnormal findings in chest x-rays.

“Given the large number of people who suffer from traumatic brain injury every day and are rushed to the emergency department, this has very big clinical importance," study authors said.