Thanks to the automatic table extractor, Laser AI recognizes table with data (e.g. outcomes or baseline characteristics) and extracts all its components - rows, columns and values.
Researcher’s task is to select the type of field that has to be extracted, choose rows and define the type of data that belongs to each column.
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