Medical imaging software company Mirada Medical showcased its DLCExpert at the recent American Society for Radiation Oncology (ASTRO) 2018 annual meeting, oct. 21-24 in San Antonio, Texas. The product, which has received U.S. Food and Drug Administration (FDA) 510(k) clearance, is the world’s first artificial intelligence (AI)-powered autocontouring solution. The software is already in use in multiple academic medical centers worldwide.

Volpara Solutions announced that the data stored in the Volpara Enterprise cloud now exceeds 1 million mammographic studies. Analysis of this anonymized big data, reflecting the state of mammography in 2018, helps mammography providers achieve improved mammographic sensitivity and detect breast cancers at an earlier stage. It also helps breast imaging centers better understand how their image quality compares to that of other facilities and how to improve their mammograms going forward.

At the American Society for Radiation Oncology (ASTRO) Annual Meeting, Oct. 21-24 in San Antonio, Elekta introduced the Mosaiq Plaza suite of data-focused integrative oncology software, highlighting the company's comprehensive strategy for precision radiation medicine. This strategy enables complex radiation therapy treatment regimens while simplifying and streamlining the delivery of care. As part of this strategy, the company also highlighted Elekta Unity, its magnetic resonance radiation therapy (MR/RT) system.

October 30, 2018 — Combinations of radiation and chemotherapy drugs have been shown to cure human papilloma virus (HPV) ...

The U.S. Food and Drug Administration (FDA) and the U.S. Department of Homeland Security (DHS) will be implementing a new framework for greater coordination and cooperation between the two agencies for addressing medical device cybersecurity. The partnership is part of a memorandum of agreement the two agencies issued this month.

RaySearch exhibited its latest advances in oncology software at the 2018 American Society for Radiation Oncology (ASTRO) annual meeting, Oct. 21-24 in San Antonio, Texas, backed by machine learning and user-friendly tools to enable optimal use of clinical resources. The company showed its latest development in machine learning technology and automation in both its RayStation treatment planning system (TPS) and RayCare oncology information system (OIS).