Using a set of machine learning diagnostic models to determine a diagnosis based on a skin tone of a patient
US12322512B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | May 13, 2024 |
| Grant date | Jun 3, 2025 |
| Priority date | — |
| Expiry date | May 13, 2044 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06V2201/03
- WIPO fieldMedical technology
- WIPO sectorInstruments
Abstract
Systems and methods are disclosed herein for determining a diagnosis based on a base skin tone of a patient. In an embodiment, the system receives a base skin tone image of a patient, generates a calibrated base skin tone image by calibrating the base skin tone image using a reference calibration profile, and determines a base skin tone of the patient based on the calibrated base skin tone image. The system receives a concern image of a portion of the patient's skin, and selects a set of machine learning diagnostic models from a plurality of sets of candidate machine learning diagnostic models based on the base skin tone of the patient, each of the sets of candidate machine learning diagnostic models trained to receive the concern image and output a diagnosis of a condition of the patient.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.