Study suggests improved time efficiency, accuracy with AI-automated head and neck radiotherapy model

A study conducted by Mayo Clinic suggests artificial intelligence could potentially improve time efficiency and standardization for radiation therapy planning in patients with head and neck cancers. The validation study, published in Frontiers in Oncology, evaluated the efficiency of an algorithm trained by Mayo Clinic and developed in collaboration with Google Health.

Chronic thromboembolic pulmonary vascular disease and left heart disease are not mutually exclusive, find researchers

A long-term analysis designed by Christian Gerges and Irene Lang at the Department of Medicine II of the University Hospital Vienna and MedUni Vienna indicates that one third of patients with chronic thromboembolic pulmonary hypertension (CTEPH) also have left heart disease. In the past, the possibility of overlap between these two conditions had not been considered in the diagnosis and treatment of CTEPH patients. The new findings were published in the Journal of the American College of Cardiology.