Purpose: Computer vision OR research: instrument detection, efficiency analysis, grant narrative.
Note: This project was built out into a structured project on 2026-06-12. The entry point is now README. Files were organized into
specs/,research/, anddrafts/subdirs (wikilinks below still resolve by basename).
Children
specs/
- validation-plan: four-pillar validation roadmap (the immediate goal)
- detection-ontology: semantic network — detections → events → outcomes
- FESS Cases Clean Dataset: cleaned FESS case dataset notes
- Analysis-Ready Data Format: data format spec for analysis
research/
- YOLO Model Improvement Analysis: model improvement work for instrument detection
- Swap Count Artifact Analysis: instrument swap count artifact investigation
- OR Efficiency and Cost Analysis: OR efficiency and cost modeling
drafts/
-
ARS DWK Grant - Unified Project Narrative: unified grant narrative (ARS DWK Innovation Grant 2026; PDF alongside)
-
CSV detections/: raw detection CSVs
Context
This research workstream is part of the Pharyvac Surgical Technologies cross-functional research pipeline, supporting instrument detection and OR efficiency analysis for the Limited Clinical Release (Sep-Dec 2026) and supporting publications.
Related context:
- CV-in-surgery literature review — academic background and related work
- FESS Market Research MOC — market sizing for target procedure volume
Updated
2026-06-04: auto-generated by os-optimizer F9.2. 2026-06-11: moved to Pharyvac Vault, added context links. 2026-06-12: built out into structured project (README + specs/research/drafts); added validation-plan and detection-ontology. See README.