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

Grant Proposals (eHealth, funded) (73) JMIR Theme Issue: COVID-19 Special Issue (2238) Dementia and Cognitive Decline (346) Artificial Intelligence (822) Computer-Aided Diagnosis (51) Diagnostic Tools in Mental Health (191)

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 (1) Tweetations (2) Metrics

Journals

  1. He Z, Dieciuc M, Carr D, Chakraborty S, Singh A, Fowe I, Zhang S, Lustria M, Terracciano A, Charness N, Boot W. New opportunities for the early detection and treatment of cognitive decline: adherence challenges and the promise of smart and person-centered technologies. BMC Digital Health 2023;1(1) View