6533b857fe1ef96bd12b44f3

RESEARCH PRODUCT

Requirement analysis for an artificial intelligence model for the diagnosis of the COVID-19 from chest X-ray data

Tuomo Kalliokoski

subject

FOS: Computer and information sciencesComputer Science - Machine LearningComputer Vision and Pattern Recognition (cs.CV)tilastomenetelmätImage and Video Processing (eess.IV)Computer Science - Computer Vision and Pattern RecognitionCOVID-19ennusteetlääketiedetekoälydiagnostiikkaElectrical Engineering and Systems Science - Image and Video Processingartificial intelligenceMachine Learning (cs.LG)data modelsclinical diagnosisstatistical analysisFOS: Electrical engineering electronic engineering information engineeringtilastolliset mallittietomallittietojärjestelmät

description

There are multiple papers published about different AI models for the COVID-19 diagnosis with promising results. Unfortunately according to the reviews many of the papers do not reach the level of sophistication needed for a clinically usable model. In this paper I go through multiple review papers, guidelines, and other relevant material in order to generate more comprehensive requirements for the future papers proposing a AI based diagnosis of the COVID-19 from chest X-ray data (CXR). Main findings are that a clinically usable AI needs to have an extremely good documentation, comprehensive statistical analysis of the possible biases and performance, and an explainability module.

yearjournalcountryeditionlanguage
2021-12-092021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)
https://doi.org/10.1109/bibm52615.2021.9669525