Stanford University researchers found their method diagnosed nodules as accurately as expert classifiers and would have avoided a number of unnecessary biopsies in the process.

Women who wore a VR headset during chemotherapy reported less anxiety and a better mood following their appointment.

AI trained and tested on more than 8,000 biopsies was nearly perfect at spotting differences in samples with or without cancer.

These sessions can help further education, promote discussion of instructive cases and invite performance feedback from fellow radiologists.

“This is exciting because it shows that proton therapy offers a way for us to reduce the serious side effects of chemo-radiation and improve patient health and well-being without sacrificing the effectiveness of the therapy,” experts wrote in a recent JAMA Oncology study.

The American College of Radiology revoked Radiology Disc of Encino’s accreditation after it did not pass a mandatory inspection under the Mammography Quality Standards Act.

The concept derives image-based biomarkers from MRI scans to produce a heat map for surgeons to better pinpoint cancers.

Radiomic analysis can extract mounds of information from MRIs and help researchers determine if a patient’s cancer is likely to return 10 years after treatment.  

The deep learning-based model yielded a lower false-negative rate for more aggressive cancers compared to traditional approaches.

Combining fluorodeoxyglucose PET with high-resolution CT can help predict subtypes of early lung adenocarcinoma—a form of cancer that is on the rise.

AI holds tremendous promise for making radiologists more efficient, but when it comes to cancer care, a few experts believe the coming tech revolution may encounter a few problems.

None of the information on the top breast density websites was written at recommended reading levels, and it may limit the educational goals of new federal breast density legislation.