When research teams are developing deep learning models, they have to make certain decisions about the image resolutions used in their work. For instance, should they always aim to use the largest images possible? Or are there times when smaller images can get the job done?  

Dermatologists need to be more involved in the development of AI technologies designed to evaluate skin cancer, according to a new analysis published in the Journal of the American Academy of Dermatology.

Deep learning-based analysis of chest x-rays can be used to predict the pulmonary to systemic flow ratio of patients with congenital heart disease, according to a new study published in JAMA Cardiology.

Medicare beneficiaries can receive acupuncture to treat lower back pain after CMS finalized coverage on Jan. 21. The treatment was previously non-covered by Medicare and was reviewed by CMS with evidence and examinations of policies of private payers.

Researchers have developed a new quantitative framework that evaluates thyroid nodules at a level comparable to two expert radiologists.

Elsevier has launched a new healthcare conference dedicated to how AI and other advanced technologies can help improve cancer care for patients all over the world.

Deep learning-based reconstruction (DLR) can reduce the radiation dose associated with low-dose chest and abdominal CT scans without sacrificing image quality, according to a new study published in the American Journal of Roentgenology.

Some findings from AI in Healthcare’s 2020 Leadership Survey deserve additional attention.