Title:
２Ｄ／３Ｄ乳房画像を精査するための読み取り時間および読み取り複雑性を予測するためのＡＩシステム
Document Type and Number:
Japanese Patent JP7465342
Kind Code:
B2
Abstract:
Examples of the present disclosure describe systems and methods for predicting the reading time and/or reading complexity of a breast image. In aspects, a first set of data relating to the reading time of breast images may be collected from one or more data sources, such as image acquisition workstations, image review workstations, and healthcare professional profile data. The first set of data may be used to train a predictive model to predict/estimate an expected reading time and/or an expected reading complexity for various breast images. Subsequently, a second set of data comprising at least one breast image may be provided as input to the trained predictive model. The trained predictive model may output an estimated reading time and/or reading complexity for the breast image. The output of the trained predictive model may be used to prioritize mammographic studies or optimize the utilization of available time for radiologists.
Inventors:
Ksir Sagar, Ashwini
Chui, Haili
Canatosios, Nikolaos
Desouza, Adora
Jan, Shanway
Chui, Haili
Canatosios, Nikolaos
Desouza, Adora
Jan, Shanway
Application Number:
JP2022516327A
Publication Date:
April 10, 2024
Filing Date:
September 25, 2020
Export Citation:
Assignee:
Hologic, Inc.
International Classes:
A61B6/00; G16H40/20
Domestic Patent References:
| JP2016035739A | ||||
| JP2009157527A |
Foreign References:
| US20150347693 | ||||
| US20180286504 | ||||
| WO2019102917A1 | ||||
| WO2018221689A1 |
Attorney, Agent or Firm:
Shusaku Yamamoto
Natsuki Morishita
Natsuki Morishita