Published on in Vol 11 (2023)
Preprints (earlier versions) of this paper are
available at
https://preprints.jmir.org/preprint/38412, first published
.
![Agreement Between Experts and an Untrained Crowd for Identifying Dermoscopic Features Using a Gamified App: Reader Feasibility Study Agreement Between Experts and an Untrained Crowd for Identifying Dermoscopic Features Using a Gamified App: Reader Feasibility Study](https://asset.jmir.pub/assets/69bd73a1b6b445c07dcb498e78641a1e.png 480w,https://asset.jmir.pub/assets/69bd73a1b6b445c07dcb498e78641a1e.png 960w,https://asset.jmir.pub/assets/69bd73a1b6b445c07dcb498e78641a1e.png 1920w,https://asset.jmir.pub/assets/69bd73a1b6b445c07dcb498e78641a1e.png 2500w)
Journals
- McNeil A, Parks K, Liu X, Jiang B, Coco J, McCool K, Fabbri D, Duhaime E, Dawant B, Tkaczyk E. Crowdsourcing Skin Demarcations of Chronic Graft-Versus-Host Disease in Patient Photographs: Training Versus Performance Study. JMIR Dermatology 2023;6:e48589 View
- Friche P, Moulis L, Du Thanh A, Dereure O, Duflos C, Carbonnel F. Training Family Medicine Residents in Dermoscopy Using an e-Learning Course: Pilot Interventional Study. JMIR Formative Research 2024;8:e56005 View
- Duggan N, Jin M, Duran Mendicuti M, Hallisey S, Bernier D, Selame L, Asgari-Targhi A, Fischetti C, Lucassen R, Samir A, Duhaime E, Kapur T, Goldsmith A. Gamified Crowdsourcing as a Novel Approach to Lung Ultrasound Data Set Labeling: Prospective Analysis. Journal of Medical Internet Research 2024;26:e51397 View
- Skinner G, Chen T, Jentis G, Liu Y, McCulloh C, Harzman A, Huang E, Kalady M, Kim P. Real-time near infrared artificial intelligence using scalable non-expert crowdsourcing in colorectal surgery. npj Digital Medicine 2024;7(1) View
- Hasan E, Duhaime E, Trueblood J. Boosting wisdom of the crowd for medical image annotation using training performance and task features. Cognitive Research: Principles and Implications 2024;9(1) View
Books/Policy Documents
- Xu Z, Yan J, Lu D, Wang Y, Luo J, Zheng Y, Tong R. Medical Image Computing and Computer Assisted Intervention – MICCAI 2023. View