Data · dataset · 2026
PituPhase65 Database
Listed in e-cienciaDatos
The PituPhase65 dataset includes 65 endoscopic pituitary surgery videos, with a mean duration of 90 minutes, performed at the Hospital Universitario 12 de Octubre (Madrid, Spain).
Description
The surgeries have been labelled in eight different surgical phases, including a Phase 0, called "Outside the body", to account for moments in video when the endoscope was outside the patient. Informed consent was obtained from all patients for the publication of the videos.
SurgeryAI is a research project focused on the integration of artificial intelligence and digital tools in the care for neurosurgery patients. This dataset was built for the development of surgical phase recognition models that to support better surgical planning, real-time guidance, and workflow automation during surgery. Grant SurgeryAI funded by MICIU/AEI/10.13039/501100011033.
Links
Where it is published
- Dataverse dataset page edatos.consorciomadrono.es/dataset.xhtml?persistentId=doi%3A10.21950%2F7JINUB ↗
landing page · from edatos consorciomadrono es
- DOI doi.org/10.21950/7jinub ↗
DOI / persistent id · from edatos consorciomadrono es
Catalogue records · 1
- Dataverse API edatos.consorciomadrono.es/api/datasets/:persistentId/?persistentId=doi%3A10.21950%2F7JIN… ↗
metadata API · from edatos consorciomadrono es
Topics
- Stated by source
- Ciencias médicas, de la salud y de la vida · Ingeniería
- From keywords
- Artificial intelligence · Computer Science & AI · Computer vision · Deep learning · Medicine & Health
- Inferred from text
- Video 75%
Provenance · 1 source records, 14 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| e-cienciaDatos | doi:10.21950/7JINUB | 13 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| concepts[field].anzsrc:field:460304 | mapping · edatos consorciomadrono es | vocabulary-mapper@1.0.0 | keywords['Computer Vision'] |
| concepts[field].anzsrc:field:461103 | mapping · edatos consorciomadrono es | vocabulary-mapper@1.0.0 | keywords['Deep Learning'] |
| concepts[field].anzsrc:group:4602 | mapping · edatos consorciomadrono es | vocabulary-mapper@1.0.0 | keywords['Artificial Intelligence'] |
| concepts[field].dataverse_subject:ciencias-m-dicas-de-la-salud-y-de-la-vida | source · edatos consorciomadrono es | connector:edatos_consorciomadrono_es@1.0.0 | /subjects |
| concepts[field].dataverse_subject:ingenier-a | source · edatos consorciomadrono es | connector:edatos_consorciomadrono_es@1.0.0 | /subjects |
| concepts[field].local:field:computer-science-ai | mapping · edatos consorciomadrono es | connector:edatos_consorciomadrono_es@1.0.0 | /subjects |
| concepts[field].local:field:medicine-health | mapping · edatos consorciomadrono es | connector:edatos_consorciomadrono_es@1.0.0 | /subjects |
| concepts[modality].local:modality:video | enrichment · edatos consorciomadrono es | keyword-concept-rules@1.0.0 | title+description (75%) |
| created_date | source · edatos consorciomadrono es | connector:edatos_consorciomadrono_es@1.0.0 | |
| description | source · edatos consorciomadrono es | connector:edatos_consorciomadrono_es@1.0.0 | /description |
| publication_date | source · edatos consorciomadrono es | connector:edatos_consorciomadrono_es@1.0.0 | |
| title | source · edatos consorciomadrono es | connector:edatos_consorciomadrono_es@1.0.0 | /name |
| updated_date | source · edatos consorciomadrono es | connector:edatos_consorciomadrono_es@1.0.0 | |
| version_label | source · edatos consorciomadrono es | connector:edatos_consorciomadrono_es@1.0.0 |