A new study shows that deep learning models trained on large sets of cancer genetic and tissue histology data can easily identify the institution that submitted the images.
A multidisciplinary team has developed a deep learning algorithm that can help assess a patient’s risk of cardiovascular disease with the same low-dose CT scan used to screen for lung cancer.
Israel-based Aidoc announces the launch of an artificial intelligence-based automated activation solution that facilitates rapid risk assessment and care coordination for high-risk pulmonary embolism patients.
As COVID-19 ravaged the world, thousands of women in the United States skipped their routine mammograms. So physicians deployed an AI algorithm to predict those most likely to develop breast cancer.
In response to the critical shortage of nasopharyngeal (NP) swabs early in the COVID-19 pandemic, the Department of Radiology at University of South Florida Health in Tampa set out to design, validate, and create NP swabs using a point-of-care 3D printer.
Virtual reality-based rehabilitation programs are becoming an important complement to conventional motor therapy for stroke patients and individuals with neurodegenerative diseases.