Researchers investigated the use of artificial intelligence to evaluate skin lesions suspicious for melanoma in camera-based images as a potential decision-support tool.
After an assessment of prior authorizations for imaging studies demonstrated potential waste, a health care system and a large commercial payer collaborated to streamline patient care.
Concurrent use of AI system improves cancer detection, reduces reading time and recall rate.
Deep natural language processing used to detect presence of lung cancer and treatment response.
Adoption varied widely by region; uptake more rapid in areas with greater socioeconomic resources.
In a head-to-head comparative study involving PCa patients with early biochemical recurrence following radical surgery, PSMA PET/CT had significantly higher cancer detection rates than fluciclovine PET/CT.
This case illustrates the role of PET/CT imaging at diagnosis in determining extramedullary disease in patients with multiple myeloma.
Study measures the usefulness of systemic imaging in early-stage breast cancer.
Researchers conducted a retrospective study to develop a DL algorithm to assess mammographic breast density.
Digital mammography and tomosynthesis proved superior to digital mammography alone, according to a study.
