Lulu BoléPaper Prototype & Future User Testing — LaibelAfter conducting user testings last week for our main feature, we are now thinking about the whole platform experience. You can see from…Apr 15, 2020Apr 15, 2020
Lulu BoléDesigning a Medical Images Labeling Tool — LaibelAfter designing our first prototype, I conducted 5 user testings, with radiologists, medical students and medical residents from all…Apr 8, 2020Apr 8, 2020
Lulu BoléHow do medical students study?The most important aspect of our platform, Laibel, is the educational feature for medical students, as it is this feature that will bring…Mar 9, 2020Mar 9, 2020
Lulu BoléLaibel’s Riskiest Assumption“Are medical students interested in using our platform to train themself to label medical images?”Mar 1, 2020Mar 1, 2020
Lulu BoléLaibel’s first experimentOur concept is simple: We take the unlabeled data, and first channel it through predictive labeling algorithms, which are free. Next, we…Feb 26, 2020Feb 26, 2020
Lulu BoléThe medical AI industry’s pain pointsWhen interviewing different potential medical data holders, we found that medical image labelling has 3 pain points:Feb 15, 2020Feb 15, 2020
Lulu BoléLaibel’s Risks“Laibel is a platform for data holders and data labellers who want to create cost effective and accurate labels to enable medical…Jan 31, 2020Jan 31, 2020