Assessing clinical utility of machine learning and artificial intelligence approaches to analyze speech recordings in multiple sclerosis: A pilot study.
Emil SvobodaTomás BorilJan RuszTereza TykalováDana HorákováCharles R. G. GuttmannKrastan B. BlagoevHiroto HatabuVlad I. ValtchinovPublished in: Comput. Biol. Medicine (2022)
Keyphrases
- pilot study
- artificial intelligence
- machine learning
- multiple sclerosis
- magnetic resonance images
- white matter
- learning algorithm
- expert systems
- brain mri
- clinical trials
- computer games
- active learning
- spontaneous speech
- medical images
- lesion segmentation
- medical imaging
- speech recognition
- computational intelligence
- case based reasoning
- image segmentation