The availability of high quality imagers on smartphones and other portable devices facilitates creation of a large, crowd-sourced,
image reference library that depicts
skin rashes and other dermatological conditions. Some of the images are uploaded with, or later annotated with, associated diagnoses or other information (e.g., “this
rash went away when I stopped drinking milk”). A user uploads a new image of an unknown
skin condition to the
library.
Image analysis techniques are employed to identify salient similarities between features of the uploaded image, and features of images in this reference
library. Given the large dataset, statistically relevant correlations emerge that identify to the user certain diagnoses that may be considered, other diagnoses that may likely be ruled-out, and / or anecdotal information about similar
skin conditions from other users. Similar arrangements can employ audio and / or other physiologically-derived signals. A great variety of other features and arrangements are also detailed.