Published on in Vol 2 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/41439, first published .
Clinical Perspectives on Using Remote Measurement Technology in Assessing Epilepsy, Multiple Sclerosis, and Depression: Delphi Study

Clinical Perspectives on Using Remote Measurement Technology in Assessing Epilepsy, Multiple Sclerosis, and Depression: Delphi Study

Clinical Perspectives on Using Remote Measurement Technology in Assessing Epilepsy, Multiple Sclerosis, and Depression: Delphi Study

Journals

  1. Mouazen B, Bendaouia A, Abdelwahed E, De Marco G. Machine learning and clinical EEG data for multiple sclerosis: A systematic review. Artificial Intelligence in Medicine 2025;166:103116 View

Conference Proceedings

  1. Subuhi A, Vadlamudi M. 2024 IEEE 4th International Conference on ICT in Business Industry & Government (ICTBIG). Advancements in AI for Depression Detection: A Survey of Machine Learning and Deep Learning Applications View