Published on in Vol 8, No 6 (2020): June
![Artificial Intelligence–Based Multimodal Risk Assessment Model for Surgical Site Infection (AMRAMS): Development and Validation Study Artificial Intelligence–Based Multimodal Risk Assessment Model for Surgical Site Infection (AMRAMS): Development and Validation Study](https://asset.jmir.pub/assets/ac0b0b4e261d044eca39fe5df2b3eb72.png 480w,https://asset.jmir.pub/assets/ac0b0b4e261d044eca39fe5df2b3eb72.png 960w,https://asset.jmir.pub/assets/ac0b0b4e261d044eca39fe5df2b3eb72.png 1920w,https://asset.jmir.pub/assets/ac0b0b4e261d044eca39fe5df2b3eb72.png 2500w)
1 Department of Anesthesiology, Rui Jin Hospital, Luwan Branch, Shanghai Jiao Tong University School of Medicine, Shanghai, China
2 Department of Informatics, Rui Jin Hospital, Luwan Branch, Shanghai Jiao Tong University School of Medicine, Shanghai, China
3 Department of Infection Prevention and Control, Rui Jin Hospital, Luwan Branch, Shanghai Jiao Tong University School of Medicine, Shanghai, China
4 VitalStrategic Research Institute, Shanghai, China
5 Synyi Research, Shanghai, China
6 Precision Diagnosis and Image Guided Therapy, Philips Research China, Shanghai, China
*these authors contributed equally