Published on in Vol 2 (2023)
![An Assessment of How Clinicians and Staff Members Use a Diabetes Artificial Intelligence Prediction Tool: Mixed Methods Study An Assessment of How Clinicians and Staff Members Use a Diabetes Artificial Intelligence Prediction Tool: Mixed Methods Study](https://asset.jmir.pub/assets/47c278af8c95b3e552cab16695c80dff.png 480w,https://asset.jmir.pub/assets/47c278af8c95b3e552cab16695c80dff.png 960w,https://asset.jmir.pub/assets/47c278af8c95b3e552cab16695c80dff.png 1920w,https://asset.jmir.pub/assets/47c278af8c95b3e552cab16695c80dff.png 2500w)
1 Department of Health Systems and Population Health Sciences, Tilman J Fertitta Family College of Medicine, University of Houston, Houston, TX, United States
2 Rice University, Houston, TX, United States
3 USDA/ARS Children's Nutrition Research Center, Department of Pediatrics, Baylor College of Medicine, Houston, TX, United States
4 Department of Family Medicine & Population Health, Virginia Commonwealth University School of Medicine, Richmond, VA, United States
5 Department of Family & Community Medicine, McGovern Medical School, University of Texas Health Science Center at Houston, Houston, TX, United States