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Chen SP, Kirsch S, Zlatev DV, et al. Optical Biopsy of Bladder Cancer Using Crowd-Sourced Assessment. JAMA Surg. 2016;151(1):90–93. doi:https://doi.org/10.1001/jamasurg.2015.3121
Crowdsourcing and optical biopsy are emerging technologies with broad applications in clinical medicine and research. Crowdsourcing, an interactive digital platform that uses multiple individual contributions to efficiently perform a complex task, has been successfully used in diverse disciplines ranging from performance assessment in surgery to optimization of tertiary protein conformations.1,2 Optical biopsy technologies provide real-time tissue imaging with histology-like resolution and the potential to guide intraoperative decision making.3-5 An example is confocal laser endomicroscopy (CLE), which can be used for the diagnosis and grading of bladder cancer.6 To further assess the adoptability of optical biopsy as a diagnostic tool, we applied crowdsourcing to determine the barriers to learning how to diagnose cancer using CLE. We hypothesized that a nonmedically trained crowd could learn to rapidly and accurately distinguish between cancer and benign tissue.
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