Recommendations on test datasets for evaluating AI solutions in pathology

no code implementations • 21 Apr 2022 • André Homeyer, Christian Geißler, Lars Ole Schwen, Falk Zakrzewski, Theodore Evans, Klaus Strohmenger, Max Westphal, Roman David Bülow, Michaela Kargl, Aray Karjauv, Isidre Munné-Bertran, Carl Orge Retzlaff, Adrià Romero-López, Tomasz Sołtysiński, Markus Plass, Rita Carvalho, Peter Steinbach, Yu-Chia Lan, Nassim Bouteldja, David Haber, Mateo Rojas-Carulla, Alireza Vafaei Sadr, Matthias Kraft, Daniel Krüger, Rutger Fick, Tobias Lang, Peter Boor, Heimo Müller, Peter Hufnagl, Norman Zerbe

The recommendations are intended to help AI developers demonstrate the utility of their products and to help regulatory agencies and end users verify reported performance measures.

A statistical model to assess risk for supporting SARS-CoV-2 quarantine decisions

no code implementations • 29 Oct 2020 • Sonja Jäckle, Elias Röger, Volker Dicken, Benjamin Geisler, Jakob Schumacher, Max Westphal

This motivates our work, in which we present a statistical model for the probability that no transmission of Sars-CoV-2 occurred given an arbitrary number of test results at potentially different timepoints.

Applications

A multiple testing framework for diagnostic accuracy studies with co-primary endpoints

1 code implementation • 8 Nov 2019 • Max Westphal, Antonia Zapf, Werner Brannath

Our approach challenges the frequent recommendation to strictly separate model selection and evaluation, i. e. to only assess a single diagnostic model in the evaluation study.

Model Selection Specificity