Artificial intelligence (AI) can use data from low-dose CT scans of the lungs to improve risk prediction for death from lung cancer, cardiovascular disease and other causes, according to a study published in Radiology.
In elderly patients with suspected prostate cancer, a prostate-specific membrane antigen positron emission tomography (PSMA PET) CT scan can diagnose advanced disease and aid in therapy selection without the need for a biopsy.
Mammography screening supported by artificial intelligence (AI) is a safe alternative to today's conventional double reading by radiologists and can reduce heavy workloads for doctors. This has now been shown in an interim analysis of a prospective, randomized controlled trial, which addressed the clinical safety of using AI in mammography screening. The trial, led by researchers from Lund University in Sweden, has been published in The Lancet Oncology.
New ultra-high-resolution CT technology enables excellent image quality and accurate diagnosis of coronary artery disease in high-risk patients, a potentially significant benefit for people previously ineligible for noninvasive screening, according to a study published in Radiology, a journal of the Radiological Society of North America (RSNA).
Assistance from an artificial intelligence (AI) algorithm with high diagnostic accuracy improved radiologist performance in detecting lung cancers on chest X-rays and increased human acceptance of AI suggestions, according to a study published in the journal Radiology.
