News, Research & Perspectives.
Product deep-dives, research notes, and our take on where radiology AI is headed — straight from the Aikenist team.
Before Adding Another MRI, Can You Use the Capacity You Already Have?
Helium supply, service downtime and long scan times all limit MRI capacity. Could AI-accelerated acquisition add capacity without another scanner?
Cardiac Risk Assessment: What More Can We Do With the CT We Already Have?
Coronary calcium scoring turns non-contrast cardiac CT into quantified risk insight. How can AI make it faster and more consistent?
What if a CT Scan Could Tell Us More Than What We Initially Looked For?
Many patients already have CT scans for other reasons. Could those images also say something about bone health, with no extra scan?
Imaging AI Is Being Adopted. But What Happens After Adoption?
Nearly half of organisations outside the US use imaging AI. The next question is what happens after adoption, and how well AI fits the workflow.
Aiken Adipo — Body Composition Quantification
Radiologists are still eyeballing visceral fat on CT scans. Aiken Adipo changes that — instant, automated quantification of visceral and subcutaneous fat with metabolic risk stratification.
The Great Simplification in Healthcare AI
From fragmented point solutions to coherent agentic workflows — a forecast for the next cycle of Healthcare AI, straight from RSNA 2025.