Not only can different lung diseases look much the same in chest imaging, but distinct diagnoses may present widely dissimilar image patterns in the same patient at the same timepoint, too.
Experts from a pandemic hotspot in Austria reported on the first patients enrolled in an ongoing study, noting significant imaging-based improvements after 12-week follow-up visits.
In a small group of women with the highest algorithm prediction risk scores, the tool could have spotted 27% of ensuing cancers, experts reported recently.
Experts at Georgia State University are using thousands of datasets and various imaging modalities to investigate bipolar disorder, schizophrenia and depression.
Researchers with Ben-Gurion University of the Negev in Israel presented their work at the 2020 International Conference on Artificial Intelligence in Medicine.