公开(公告)号：US20240296956A1

公开(公告)日：2024-09-05

申请号：US18662798

申请日：2024-05-13

申请人： Digital Diagnostics Inc.

发明人： Elliot Swart ,  Elektra Efstratiou Alivisatos ,  Joseph Ferrante ,  Elizabeth Asai

IPC分类号： G16H50/20 ,  A61B5/00 ,  A61B5/103 ,  G06T7/00 ,  G06T7/90 ,  G06V10/56 ,  G06V10/72 ,  G06V10/764 ,  G06V40/10

CPC分类号： G16H50/20 ,  A61B5/1032 ,  A61B5/441 ,  A61B5/7267 ,  A61B5/7275 ,  G06T7/0014 ,  G06T7/90 ,  G06V10/56 ,  G06V10/72 ,  G06V10/764 ,  G06V40/10 ,  A61B2576/02 ,  G06T2207/10024 ,  G06T2207/20076 ,  G06T2207/20081 ,  G06T2207/20084 ,  G06T2207/30088 ,  G06T2207/30168 ,  G06V2201/03

摘要： 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.

公开(公告)号：US20220309668A1

公开(公告)日：2022-09-29

申请号：US17619173

申请日：2020-06-15

申请人： Digital Diagnostics Inc.

发明人： Elliot Swart ,  Elektra Efstratiou Alivisatos ,  Joseph Ferrante ,  Elizabeth Asai

IPC分类号： G06T7/00 ,  G06T7/90 ,  G06V10/764 ,  G06V10/72 ,  A61B5/00 ,  A61B5/103

摘要： 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.

公开(公告)号：US12014828B2

公开(公告)日：2024-06-18

申请号：US17619173

申请日：2020-06-15

申请人： Digital Diagnostics Inc.

发明人： Elliot Swart ,  Elektra Efstratiou Alivisatos ,  Joseph Ferrante ,  Elizabeth Asai

IPC分类号： G06T7/90 ,  A61B5/00 ,  A61B5/103 ,  G06T7/00 ,  G06V10/56 ,  G06V10/72 ,  G06V10/764 ,  G06V40/10 ,  G16H50/20

CPC分类号： G16H50/20 ,  A61B5/1032 ,  A61B5/441 ,  A61B5/7267 ,  A61B5/7275 ,  G06T7/0014 ,  G06T7/90 ,  G06V10/56 ,  G06V10/72 ,  G06V10/764 ,  G06V40/10 ,  A61B2576/02 ,  G06T2207/10024 ,  G06T2207/20076 ,  G06T2207/20081 ,  G06T2207/20084 ,  G06T2207/30088 ,  G06T2207/30168 ,  G06V2201/03

摘要： 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.