公开(公告)号：US20250166837A1

公开(公告)日：2025-05-22

申请号：US18953643

申请日：2024-11-20

Applicant: Worcester Polytechnic Institute

Inventor： Emmanuel Agu ,  Akshay Iyer ,  Raghav Nagpal ,  Apiwat Ditthapron ,  Ziyang Liu ,  Reza Sadaarti ,  Bengisu Tulu ,  Diane Strong ,  Peder Pedersen ,  Raymond Dunn ,  Clifford Lindsay

IPC: G16H50/30 ,  G06F40/279 ,  G06T7/00 ,  G06T11/00 ,  G06V10/44 ,  G06V10/74 ,  G06V10/764 ,  G06V10/774 ,  G06V20/70 ,  G16H30/40

Abstract: A wound care treatment platform and application employs a mobile device and application (“app”) for on-site capture and gathering of wound images from a patient. The mobile device is in wireless communication with a database including health records and data and trained models of wound image classification. Based on a patient image of a wound under care, the image is analyzed for features indicative of wound health and healing progress. The mobile device invokes a plurality of models for providing an accurate and consistent assessment and treatment recommendation, including evaluating the sufficiency of the patient image gathered by the mobile device, normalizing the patient image for adverse or irregular lighting, common in patient dwellings, adjusting for a distance and angle at which the caretaker obtained the image, computing a comprehensive score of wound healing, and rendering an evaluation for referral or continuance of current outpatient care.

公开(公告)号：US20250166183A1

公开(公告)日：2025-05-22

申请号：US18953632

申请日：2024-11-20

Applicant: Worcester Polytechnic Institute

Inventor： Emmanuel Agu ,  Akshay Iyer ,  Raghav Nagpal ,  Apiwat Ditthapron ,  Ziyang Liu ,  Reza Sadaarti ,  Bengisu Tulu ,  Diane Strong ,  Peder Pedersen ,  Raymond Dunn ,  Clifford Lindsay

IPC: G06T7/00 ,  G06T3/40 ,  G06T5/73 ,  G06T5/90 ,  G16H30/40 ,  G16H50/30

Abstract: A wound care treatment platform and application employs a mobile device and application (“app”) for on-site capture and gathering of wound images from a patient. The mobile device is in wireless communication with a database including health records and data and trained models of wound image classification. Based on a patient image of a wound under care, the image is analyzed for features indicative of wound health and healing progress. The mobile device invokes a plurality of models for providing an accurate and consistent assessment and treatment recommendation, including evaluating the sufficiency of the patient image gathered by the mobile device, normalizing the patient image for adverse or irregular lighting, common in patient dwellings, adjusting for a distance and angle at which the caretaker obtained the image, computing a comprehensive score of wound healing, and rendering an evaluation for referral or continuance of current outpatient care.