2026-09-23T16:13:28.179Z
- summary:
HepatoBiliary Surgery and Nutrition · Artificial Intelligence in Healthcare→ HepatoBiliary Surgery and Nutrition · Artificial Intelligence in Healthcare · Medical University of South Carolina
SOURCE-LINKED INTELLIGENCE
An artificial intelligence-augmented electrocardiogram model can detect undiagnosed chronic liver disease, but can this be applied in primary care?
HepatoBiliary Surgery and Nutrition · Artificial Intelligence in Healthcare · Medical University of South Carolina
Read original source ↗ Open in workspace
- recordType
- paper
- evidenceStatus
- metadata-reported
- region
- Global
Evidence & attribution
- OpenAlex research metadata · 2026-09-22T00:00:00.000Z
Research metadata: OpenAlex (CC0). Original paper rights remain with its publisher.
First collected: 2026-09-22T16:03:50.148Z. This is not the publication date.
Observed changes
AIIC observation times, not verified publisher revision times. Up to eight recent revisions.
Research metadata
OpenAlex record ↗ · Metadata licensed CC0; paper rights are separate.
- Citations reported by OpenAlex
- 0
- Authors
- Brad A. Keith; Samuel O. Schumann III; Andrew D. Schreiner
- Affiliations
- Medical University of South Carolina (US)
- Topic
- Artificial Intelligence in Healthcare
- Venue
- HepatoBiliary Surgery and Nutrition
- Publication type
- article
- Retraction flag reported by OpenAlex
- Not flagged
Citation count and retraction flag reported by OpenAlex. Citations are not a quality score; affiliation countries are not study locations.