Research output per year
Research output per year
Project Details
Description
The goal of this project is to boost the societal and commercial potential of our artificial intelligence (AI) based surgical site infection (SSI) detection technology for treatment of orthopaedic patients. The technology is an AI software model trained with the domain knowledge from orthopaedic surgeons and a huge number of orthopaedic surgical site images. The final product enabled by this technology could be an intelligent mobile phone App to empower orthopaedic patients to monitor their surgical sites at home, which has the potential to significantly reduce the cost related to SSI.
Key findings
Automated real-time detection of surgical sites.
Potential correlation between surgical site infection and temperature patterns of the surgical sites.
Potential correlation between surgical site infection and temperature patterns of the surgical sites.
| Short title | DeepBone |
|---|---|
| Status | Finished |
| Effective start/end date | 01/01/2021 → 31/12/2022 |
Collaborative partners
Fingerprint
Explore the research topics touched on by this project. These labels are generated based on the underlying awards/grants. Together they form a unique fingerprint.
Research output
- 1 Journal article
-
Preparing Infection Detection Technology for Hospital at Home after Lower Limb External Fixation
Annadatha, S., Hua, Q., Fridberg, M., Jensen, T., Liu, J., Kold, S. V., Rahbek, O. & Shen, M., 6 Jul 2022, In: Digital Health. 8, p. 1-20Research output: Contribution to journal › Journal article › Research › peer-review
Open AccessFile1 Citation (Scopus)55 Downloads (Pure)