Compared with postoperative stereotactic radiation therapy, an investigational intraoperative RT approach could significantly reduce local tumor recurrence and improve survival in patients with newly diagnosed operable brain metastases.
New findings could shift the standard approach to preventing brain metastases in SCLC, particularly as modern MRI allows clinicians to detect and treat brain disease earlier.
The imaging agent could potentially help doctors characterize a malignancy's aggression and identify lesions with a higher likelihood of invasion or metastasis.
A new review led by UCLA researchers examines the utility of commercially available AI tools for screening mammography and evidence surrounding their ability to detect interval cancers.
New research may help providers identify patterns on neuroimaging that could offer clues into how well patients are responding to antidepressant medications.
Researchers have developed a deep learning model that can spot longitudinal changes in patients' brain imaging that could be indicative of cancer recurrence.
Providers are up to three times more likely to trust the opinion of humans over AI, even when the algorithm is proven to detect more cancerous lesions than radiologists.
