Publications in AI for wound assessment and healing (in chronological order)
Year | Location | Citation | Description of AI approach | Description of wound problem |
---|---|---|---|---|
2003 | Trzaska, Ljubljana, Slovenia | [83] | Comprehensible evaluation of prognostic factors and prediction of wound healing | General |
2020 | Los Angeles, California, USA | [80] | Development of a model to predict healing of chronic wounds within 12 weeks | Chronic wounds |
2021 | Mineola, New York, USA | [74] | Development of a method for clinical evaluation of AI-based digital wound assessment tools | General |
2021 | Ann Arbor, Michigan, USA | [85] | Machine learning-assisted immune profiling stratifies peri-implantitis patients with unique microbial colonization and clinical outcomes | Peri-implantitis |
2022 | Santa Cruz, California, USA | [76] | Automatic wound detection and size estimation using deep learning algorithms | General |
2022 | Toronto, Ontario, Canada | [77] | Fully automated wound tissue segmentation using deep learning on mobile devices: cohort study | General |
2022 | Pittsburgh, Pennsylvania, USA | [79] | Predicting chronic wound healing time using machine learning | Chronic wounds |
2022 | Sydney, New South Wales, Australia | [78] | Evaluation of an AI app to improve wound assessment and management amid the COVID-19 pandemic | General |
2022 | Halifax, Nova Scotia, Canada | [73] | Risk profiling in the prevention and treatment of chronic wounds using AI | Chronic wounds |
2022 | Melbourne, Victoria, Australia | [81] | Computerised prediction of healing for VLU | VLU |
2022 | Milwaukee, Wisconsin, USA | [63] | Image-based AI in wound assessment: a systematic review | General |
2023 | Toronto, Ontario, Canada | [84] | Towards an AI-based objective prognostic model for quantifying wound healing | General |
2023 | Karachi, Sindh, Pakistan | [82] | Diabetic wounds and AI: a mini-review | Diabetic wounds |
2023 | Tel Aviv, Israel | [86] | Application of AI methodologies to chronic wound care and management: a scoping review | Chronic wounds |
2023 | Hat Yai, Songkhla, Thailand | [75] | AI-assisted assessment of wound tissue with automatic color and measurement calibration on images taken with a smartphone | General |