Direction, evidence grade, and study type are AI-generated labels (gpt-5-mini), not human-verified. Syntheses are LLM-written. "Tensions" are machine-detected candidates, not confirmed contradictions. A research-acceleration tool, not peer review.
How this is built →
1Distinct papers
2Unique collaborators
1/1OpenAlex citation coverage
Publication span: 2026. Corpus fetch span: 2026.
Identity provenance
Provider IDs
- Openalex:
A5099046675
ORCID evidence
No valid ORCID is stored.
Observed aliases (1)
- Manuel Villasalero (openalex, provider refresh)
Topics and outcomes in this view
Assessment themes
- Governance: 1 paper
- Human Ai Collab: 1 paper
- Innovation: 1 paper
- Labor Markets: 1 paper
- Org Design: 1 paper
- Productivity: 1 paper
- Skills Training: 1 paper
Claim outcomes
- Employment: 1 paper
- Organizational Efficiency: 1 paper
- Other: 1 paper
- Decision Quality: 1 paper
- Firm Productivity: 1 paper
- Governance And Regulation: 1 paper
- Job Displacement: 1 paper
- Research Productivity: 1 paper
- Task Allocation: 1 paper
Papers in the OpenAlex view
Latest stored OpenAlex author observations only. Citation counts below are from the same provider and are not combined with other services.
Scroll the table horizontally to see every column.
| Paper | Author evidence | Date | Provider citations |
|---|---|---|---|
| AI in medicine falls into three interaction levels—assisted, augmented and automated—each producing distinct effects on work, productivity and management. Rather than simply displacing clinicians, the dominant trajectory is toward Human+ professionals who supervise, exercise higher-order judgment and manage exceptions.openalex | Manuel Villasalero provider id |
2026-03-08 | 1 |
Citation observation summary
OpenAlex supplied counts for 1 of 1 papers in this view; 0 are missing. The observed paper counts sum to 1 cumulative citations. This is a coverage summary, not an author score or h-index.