MACHINE LEARNING SYSTEMS AND METHODS FOR ASSESSMENT, HEALING PREDICTION, AND TREATMENT OF WOUNDS

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 incl...

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Bibliographic Details
Main Authors Fan, Wensheng, Plant, Kevin, Quan, Peiran, Gao, Zhicun, Dwight, Jason, Yi, Faliu, Thatcher, Jeffrey E
Format Patent
LanguageEnglish
Published 15.06.2023
Subjects
DIAGNOSIS
HUMAN NECESSITIES
HYGIENE
IDENTIFICATION
MEDICAL OR VETERINARY SCIENCE
SPECIFIC THERAPEUTIC ACTIVITY OF CHEMICAL COMPOUNDS ORMEDICINAL PREPARATIONS
SURGERY
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Summary: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.
Bibliography:Application Number: US202217820837