Fig. 1: Gamified crowdsourcing methodology and expert time savings. | npj Digital Medicine

Fig. 1: Gamified crowdsourcing methodology and expert time savings.

From: Real-time near infrared artificial intelligence using scalable non-expert crowdsourcing in colorectal surgery

Fig. 1

a Screenshot images of annotation instructions (Centaur Labs, Boston MA) for bowel and abdominal wall. b Crowdsource annotation parameters values used for bowel and abdominal wall tasks. For test and train datasets: c Number of videos and frames. d Estimated expert hours saved by utilizing crowdsourcing. e Crowdsource worker demographics indicating percentage of non-MD/unknown (black), MD (green), and surgical MD (red). f Difficulty level (difficulty index) of bowel and abdominal wall (wall) annotations with median values (green dashed line).

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