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1.发明授权公开(公告)号：US11948300B2
公开(公告)日：2024-04-02
申请号：US18177493
申请日：2023-03-02
申请人： SPECTRAL MD, INC.
发明人： Wensheng Fan , John Michael DiMaio , Jeffrey E. Thatcher , Peiran Quan , Faliu Yi , Kevin Plant , Ronald Baxter , Brian McCall , Zhicun Gao , Jason Dwight
CPC分类号： G06T7/0012 , A61B5/445 , A61B5/7275 , G06T7/11 , G16H30/40 , G16H50/30 , A61B5/0077 , G06T2207/20081 , G06T2207/30088 , G06T2207/30096
摘要： Machine learning systems and methods are disclosed for prediction of wound healing, such as for diabetic foot ulcers or other wounds, and for assessment implementations such as segmentation of images into wound regions and non-wound regions. Systems for assessing or predicting wound healing can include a light detection element configured to collect light of at least a first wavelength reflected from a tissue region including a wound, and one or more processors configured to generate an image based on a signal from the light detection element having pixels depicting the tissue region, determine reflectance intensity values for at least a subset of the pixels, determine one or more quantitative features of the subset of the plurality of pixels based on the reflectance intensity values, and generate a predicted or assessed healing parameter associated with the wound over a predetermined time interval.
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2.发明公开公开(公告)号：US20240281966A1
公开(公告)日：2024-08-22
申请号：US18620830
申请日：2024-03-28
申请人： SPECTRAL MD, INC.
发明人： Wensheng Fan , John Michael DiMaio , Jeffrey E. Thatcher , Peiran Quan , Faliu Yi , Kevin Plant , Ronald Baxter , Brian McCall , Zhicun Gao , Jason Dwight
CPC分类号： G06T7/0012 , A61B5/445 , A61B5/7275 , G06T7/11 , G16H30/40 , G16H50/30 , A61B5/0077 , G06T2207/20081 , G06T2207/30088 , G06T2207/30096
摘要： Machine learning systems and methods are disclosed for prediction of wound healing, such as for diabetic foot ulcers or other wounds, and for assessment implementations such as segmentation of images into wound regions and non-wound regions. Systems for assessing or predicting wound healing can include a light detection element configured to collect light of at least a first wavelength reflected from a tissue region including a wound, and one or more processors configured to generate an image based on a signal from the light detection element having pixels depicting the tissue region, determine reflectance intensity values for at least a subset of the pixels, determine one or more quantitative features of the subset of the plurality of pixels based on the reflectance intensity values, and generate a predicted or assessed healing parameter associated with the wound over a predetermined time interval.
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3.发明公开公开(公告)号：US20230222654A1
公开(公告)日：2023-07-13
申请号：US18177493
申请日：2023-03-02
申请人： SPECTRAL MD, INC.
发明人： Wensheng Fan , John Michael DiMaio , Jeffrey E. Thatcher , Peiran Quan , Faliu Yi , Kevin Plant , Ronald Baxter , Brian McCall , Zhicun Gao , Jason Dwight
CPC分类号： G06T7/0012 , G16H30/40 , A61B5/445 , G16H50/30 , A61B5/7275 , G06T7/11 , G06T2207/20081 , G06T2207/30096 , A61B5/0077 , G06T2207/30088
摘要： Machine learning systems and methods are disclosed for prediction of wound healing, such as for diabetic foot ulcers or other wounds, and for assessment implementations such as segmentation of images into wound regions and non-wound regions. Systems for assessing or predicting wound healing can include a light detection element configured to collect light of at least a first wavelength reflected from a tissue region including a wound, and one or more processors configured to generate an image based on a signal from the light detection element having pixels depicting the tissue region, determine reflectance intensity values for at least a subset of the pixels, determine one or more quantitative features of the subset of the plurality of pixels based on the reflectance intensity values, and generate a predicted or assessed healing parameter associated with the wound over a predetermined time interval.
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4.发明公开公开(公告)号：US20230181042A1
公开(公告)日：2023-06-15
申请号：US17820837
申请日：2022-08-18
申请人： Spectral MD, Inc.
发明人： Wensheng Fan , Jeffrey E. Thatcher , Peiran Quan , Faliu Yi , Kevin Plant , Zhicun Gao , Jason Dwight
CPC分类号： A61B5/0059 , A61P17/02 , G16H30/40
摘要： Machine learning systems and methods are disclosed for prediction of wound healing, such as for diabetic foot ulcers or other wounds, and for assessment implementations such as segmentation of images into wound regions and non-wound regions. Systems for assessing or predicting wound healing can include a light detection element configured to collect light of at least a first wavelength reflected from a tissue region including a wound or portion thereof, and one or more processors configured to generate an image based on a signal from the light detection element having pixels depicting the tissue region, automatically segment the pixels into wound pixels and non-wound pixels, determine one or more optically determined tissue features of the wound or portion thereof, and generate a predicted or assessed healing parameter associated with the wound or portion thereof over a predetermined time interval.
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公开(公告)号：US20230148951A1
公开(公告)日：2023-05-18
申请号：US18152654
申请日：2023-01-10
申请人： SPECTRAL MD, INC.
发明人： Jeffrey E. Thatcher , Wensheng Fan , Kevin Plant , Faliu Yi
CPC分类号： A61B5/445 , G06T7/0012 , A61B5/0075 , A61B5/7275 , A61B5/7267 , A61B5/4842 , G06T2207/30088 , G06T2207/30101 , G06T2207/20084
摘要： The present disclosure relates to systems and methods for assessing or predicting the status of wounds such as burns. Systems can include at least one light detection element and one or more processors configured to receive a signal from the at least one light detection element representing light reflected from a tissue region, generate an image having a plurality of pixels depicting the tissue region, and determine a burn status of a subset of pixels of the image using one or more deep learning algorithms. Systems can further be configured to generate a classified image of the tissue region and/or determine a predictive score associated with healing of the wound.
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6.发明授权公开(公告)号：US11599998B2
公开(公告)日：2023-03-07
申请号：US17013336
申请日：2020-09-04
申请人： SPECTRAL MD, INC.
发明人： Wensheng Fan , John Michael DiMaio , Jeffrey E. Thatcher , Peiran Quan , Faliu Yi , Kevin Plant , Ronald Baxter , Brian McCall , Zhicun Gao , Jason Dwight
摘要： Machine learning systems and methods are disclosed for prediction of wound healing, such as for diabetic foot ulcers or other wounds, and for assessment implementations such as segmentation of images into wound regions and non-wound regions. Systems for assessing or predicting wound healing can include a light detection element configured to collect light of at least a first wavelength reflected from a tissue region including a wound, and one or more processors configured to generate an image based on a signal from the light detection element having pixels depicting the tissue region, determine reflectance intensity values for at least a subset of the pixels, determine one or more quantitative features of the subset of the plurality of pixels based on the reflectance intensity values, and generate a predicted or assessed healing parameter associated with the wound over a predetermined time interval.
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7.发明申请公开(公告)号：US20210201479A1
公开(公告)日：2021-07-01
申请号：US17013336
申请日：2020-09-04
申请人： SPECTRAL MD, INC.
发明人： Wensheng Fan , John Michael DiMaio , Jeffrey E. Thatcher , Peiran Quan , Faliu Yi , Kevin Plant , Ronald Baxter , Brian McCall , Zhicun Gao , Jason Dwight
摘要： Machine learning systems and methods are disclosed for prediction of wound healing, such as for diabetic foot ulcers or other wounds, and for assessment implementations such as segmentation of images into wound regions and non-wound regions. Systems for assessing or predicting wound healing can include a light detection element configured to collect light of at least a first wavelength reflected from a tissue region including a wound, and one or more processors configured to generate an image based on a signal from the light detection element having pixels depicting the tissue region, determine reflectance intensity values for at least a subset of the pixels, determine one or more quantitative features of the subset of the plurality of pixels based on the reflectance intensity values, and generate a predicted or assessed healing parameter associated with the wound over a predetermined time interval.
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8.发明授权公开(公告)号：US10783632B2
公开(公告)日：2020-09-22
申请号：US16738911
申请日：2020-01-09
申请人： SPECTRAL MD, INC.
发明人： Wensheng Fan , John Michael DiMaio , Jeffrey E. Thatcher , Peiran Quan , Faliu Yi , Kevin Plant , Ronald Baxter , Brian McCall , Zhicun Gao , Jason Dwight
IPC分类号： G06K9/00 , G06K9/62 , G06K9/46 , A61B5/00 , A61B6/00 , G06T7/00 , G06T7/11 , G16H30/40 , G16H50/30
摘要： Machine learning systems and methods are disclosed for prediction of wound healing, such as for diabetic foot ulcers or other wounds, and for assessment implementations such as segmentation of images into wound regions and non-wound regions. Systems for assessing or predicting wound healing can include a light detection element configured to collect light of at least a first wavelength reflected from a tissue region including a wound, and one or more processors configured to generate an image based on a signal from the light detection element having pixels depicting the tissue region, determine reflectance intensity values for at least a subset of the pixels, determine one or more quantitative features of the subset of the plurality of pixels based on the reflectance intensity values, and generate a predicted or assessed healing parameter associated with the wound over a predetermined time interval.
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