The Royal Australian and New Zealand College of Radiologists (RANZCR) has issued a set of practice standards regarding the role of artificial intelligence (AI) in healthcare applications.
The AI Standards of Practice provides a risk-management framework designed for the safe implementation of AI in radiology. The standards allow the radiology community to create efficient and accessible healthcare systems while improving patient outcomes, according to RANZCR president Dr. Lance Lawler.
The standards can be found on the RANZCR website. They further the organization's thought leadership on the safe and ethical role of AI in radiology; RANZCR previously released a corresponding set of ethical principles for AI released in 2019.
![A normal mammogram confirmed by three-year radiologic follow-up illustrates reader-marked regions of interest (ROIs) during (A) unaided (round 1) and (B) artificial intelligence (AI)–assisted (round 2) reading. Each colored dot represents an ROI for recall by a human reader. Readers could mark more than one ROI per case, represented by multiple dots of the same color. During AI-assisted reading, the AI system displayed three visible prompts: two with suspicion of malignancy scores of 35% (left mediolateral oblique [L MLO] and craniocaudal [L CC]) and one with a suspicion of malignancy score of 10% (right craniocaudal [R CC]), shown as polygonal overlays. Without AI, six of 10 readers (60%) marked a false-positive ROI. With AI assistance, this fell to two of 10 (20%). R MLO = right mediolateral oblique.](https://img.auntminnie.com/mindful/smg/workspaces/default/uploads/2026/07/2026-07-14-radiology-mammogram-ai-auto-bias.H0bYO8QlWs.jpg?auto=format%2Ccompress&dpr=2&fit=crop&h=167&q=70&w=250)
