A recent publication in npj Digital Medicine explored the use of AI-generated radiology reports — and the results are worth watching.
In the study, radiologists used a model that generated full reports from short keyword prompts. The result? A nearly 30% reduction in reporting time, without compromising quality or accuracy. The goal: to improve efficiency and reduce variability in radiology workflows.
For clinical trials, especially those involving high volumes of imaging data, this approach has real potential. Consistency in documentation and faster turnaround times could benefit sponsors and CROs managing imaging-heavy protocols — while still keeping expert oversight in place.
At Axcellant, we believe AI won’t replace clinical experts, but it will increasingly support their work in subtle, meaningful ways — especially in high-pressure, data-intensive environments.
Read the full study here.
Axcellant is pleased to announce the formation of its Advisory Board - a group of distinguished experts in clinical science,…
The FDA and the European Commission are changing the rules of the game simultaneously. The shift is from a single…
Modern nuclear medicine is a high-tech discipline that requires advanced facilities, infrastructure, qualified staff, and know-how. The reliable supply of radionuclides,…
Copyright @ 2026 Axcellant