United StatesHealthcare and life sciences2022 – ongoingCedars-Sinai
AI triage of urgent findings on CT scans
Cedars-Sinai reported brain-bleed stays averaging 1.7 days shorter after AI triage in preliminary analysis
Problem
Radiologists needed to identify time-sensitive findings quickly within CT workloads. Delayed detection could postpone diagnosis and treatment.
Approach
Cedars-Sinai radiologists developed AI that processed CT scans and flagged dangerous findings for attention. Its uses included detecting brain bleeds and pulmonary embolism. The Imaging Department studied whether clinical use was associated with shorter inpatient stays.
Results
Takeaway
Shorter stays were a preliminary observation after implementation. Cedars-Sinai was still studying whether earlier AI-assisted detection explained the difference.
Categories
- Size
- Large enterprise
- Industry
- Healthcare and life sciences
- Business function
- Production and quality
- Innovation type
- Process innovation
- AI technology
- Computer vision
- Adoption
- Built in-house
- Evidence
- Company's own claim
Sources
Source summaries
Cedars-Sinai described clinical AI triage of CT scans. Preliminary analysis found brain-bleed stays averaged 1.7 days shorter after introduction, while the explanation remained under investigation.
Full details are in the original sources.