Information Technology

A radiologist pulls up a chest CT scan flagged for a pulmonary nodule. One artificial intelligence (AI) tool writes its findings into a picture archiving and communication system (PACS). A second posts a risk score into its own worklist. A third requires a separate login.

Could the era of the empowered patient change how imaging reports are structured and presented? It’s a question on the mind of healthcare leaders and solution providers as patients begin asking artificial intelligence (AI) models for assistance in interpreting radiology studies.

Artificial intelligence (AI) has enhanced diagnostic accuracy and improved triage in radiology. But far fewer tools address the daily inefficiencies that consume a radiologist’s time.

June 15, 2026 — Leica Biosystems is expanding the availability of its Aperio GT Elite digital scanner into the EMEA (Europe, Middle East and Africa) region following its March U.S.

June 9, 2026 — Mosaic Clinical Technologies, a wholly owned subsidiary of Radiology Partners, has launched Mosaic Reporting, a new class of AI-native radiology reporting…