Artificial intelligence enabled preference learning
US12380314B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jun 29, 2021 |
| Grant date | Aug 5, 2025 |
| Priority date | — |
| Expiry date | Jun 6, 2044 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06T2207/20116
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Embodiments described herein provide for training an artificial intelligence model to become a preference-aware model. The artificial intelligence model preferences as the artificial intelligence model trains. Reinforcement learning is used to train experts in the artificial intelligence model such that each expert is trained to converge to a unique preference. The architecture of the artificial intelligence model is highly flexible. Upon executing a trained model, users can select automatically images according to various preferences based on medical professional preferences, geographic preferences, patient anatomy, and institutional guidelines.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.