This paper is in the following e-collection/theme issue:

Grant Proposals (eHealth, funded) (66) JMIR Theme Issue: COVID-19 Special Issue (1728) Dementia and Cognitive Decline (269) Artificial Intelligence (504) Computer-Aided Diagnosis (41) Diagnostic Tools in Mental Health (153)

Published on in Vol 11, No 1 (2022): January

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/34475, first published .
The Use of a Computerized Cognitive Assessment to Improve the Efficiency of Primary Care Referrals to Memory Services: Protocol for the Accelerating Dementia Pathway Technologies (ADePT) Study

The Use of a Computerized Cognitive Assessment to Improve the Efficiency of Primary Care Referrals to Memory Services: Protocol for the Accelerating Dementia Pathway Technologies (ADePT) Study

The Use of a Computerized Cognitive Assessment to Improve the Efficiency of Primary Care Referrals to Memory Services: Protocol for the Accelerating Dementia Pathway Technologies (ADePT) Study

Authors of this article:

Chris Kalafatis 1, 2, 3 Author Orcid Image ;   Mohammad Hadi Modarres 1 Author Orcid Image ;   Panos Apostolou 1 Author Orcid Image ;   Naji Tabet 4, 5 Author Orcid Image ;   Seyed-Mahdi Khaligh-Razavi 1, 6 Author Orcid Image
Article Authors Cited by Tweetations (2) Metrics
Chris Kalafatis 1, 2, 3, MD;  Mohammad Hadi Modarres 1, PhD;  Panos Apostolou 1, MSc;  Naji Tabet 4, 5, MD;  Seyed-Mahdi Khaligh-Razavi 1, 6, PhD

1 Cognetivity Neurosciences Ltd , London , GB

2 South London & Maudsley NHS Foundation Trust , London , GB

3 Department of Old Age Psychiatry, King's College London , London , GB

4 Dementia Research Unit, Sussex Partnership NHS Foundation Trust , West Sussex , GB

5 Centre for Dementia Studies, Brighton and Sussex Medical School , Brighton , GB

6 Department of Stem Cells and Developmental Biology, Cell Science Research Center, Royan Institute for Stem Cell Biology and Technology, Tehran , IR

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