KGMU in Lucknow is installing a new ₹ 8.5 crore AI-enhanced CT scanner at its trauma centre, aimed at halving wait times and improving image accuracy a move expected to significantly boost emergency and post-accident care.
Glimpse:
The AI-enabled scanner supports rapid trauma imaging with advanced image reconstruction to detect subtle injuries (like micro-fractures or small bleeds) and ensures faster turnaround by streamlining workflow. Once operational (in 5–6 months), it is likely to drastically reduce delays for the ~150 trauma cases handled daily at KGMU.
King George’s Medical University (KGMU) has announced the installation of a high-end, AI-powered CT scanner at its trauma centre, located near the geriatric-medicine complex opposite the main trauma building.
The new scanner costing ₹ 8.5 crore is designed for rapid trauma diagnostics. Once installed (expected within 5–6 months), it will aim to reduce patient waiting times from several hours to under one hour. This is critical given that the trauma centre currently handles around 150 trauma cases daily, making timely imaging and diagnosis a recurring challenge.
Beyond speed, the AI component enhances diagnostic quality. The system uses advanced image-reconstruction algorithms to sharpen images critical for detecting subtle injuries such as fine fractures or small internal bleeds that might be missed in standard scans. It also supports optimized radiation dosing, particularly important for paediatric and repeat-scan patients.
Hospital leadership has committed to training radiologists and technicians in using the new system. Meanwhile the existing CT scanner will remain operational as backup, ensuring no drop in imaging capacity during the transition. According to KGMU officials, this upgrade reinforces the hospital’s role as a leading trauma-care centre in the region.
“With the AI-enabled CT, we expect to cut trauma-scan waiting time to under an hour which in emergencies can make the difference between life and death.”
By
HB Team
