Gerhard Rambold, Dieter Neubacher, Siegfried Schießl
Fingerprints, barcode sequences and quasi-phylogenies-Tools for analysing polyphonic music
PloS one
polysomnographic recordings essential diagnosing many sleep disorders yet detailed analysis presents considerable challenges rise machine learning methodologies researchers created various algorithms automatically score extract clinically relevant features polysomnography less research devoted exactly algorithms incorporated workflow sleep technologists paper presents sophisticated data collection platform developed sleep revolution project harness polysomnographic data multiple european centers tripartite platform presented userfriendly web platform uploading threenight polysomnographic recordings dedicated splitter segments individual onenight recordings advanced processor enhances onenight polysomnography contemporary automatic scoring algorithms platform evaluated using reallife data human scorers whereby scoring time accuracy trust quantified additionally scorers interviewed trust platform along impact integration workflow found incorporating ai workflow sleep technologists decreased time score 65 min increased agreement technologists much 017 conclude inclusion ai workflow sleep technologists positive impact terms speed agreement need trust algorithms