Health AI Central
Share:
Peer-Reviewed Publication
BMJ Health Care Inform2025;32(1)December 21, 2025Journal Article

Measuring provider-level differences in perioperative workflow using computer vision-based artificial intelligence.

Theoren Loo1, Brandon Mcglennen2, Stephen Incavo3, Nate Hilger2
1Apella Technology, San Francisco, California, USA theoloo@apella.io.
2Apella Technology, San Francisco, California, USA.
3Houston Methodist Hospital, Houston, Texas, USA.
PubMed PMC DOI PDF

Abstract

OBJECTIVES: To evaluate provider-level variability across the full perioperative workflow using a computer vision-based artificial intelligence (AI) system that automatically detects and timestamps operating room events. METHODS: A cross-sectional study of total knee arthroplasty cases performed between September 2022 and March 2025 at a regional health system was conducted. An ambient surgical p…

Create a free account to keep reading

Free members get 10 full research views every month across publications, clinical trials, FDA clearances, adverse events, and NIH grants. No credit card required.

Create Free AccountSign In

Want unlimited research access? See Pro plans

Data Accuracy Notice: Research intelligence on Health AI Central is aggregated from public sources (PubMed, ClinicalTrials.gov, FDA, NIH, CMS, and others) and refreshed nightly. Classifications and derived metrics are produced by automated methods described in our Methodology. We recommend verifying critical data points against the primary sources before making decisions.