Insights from ARCOS-V’s Transition to Remote Data Collection during the COVID-19 Pandemic: A Descriptive Study
The ARCOS-V study's digital transformation exemplifies the resilience of epidemiological research in the face of a global crisis. The successful adaptation to digital data collection methods highlights the potential benefits of such tools, particularly as we enter a new age of artificial intelligence (AI).
Authors
- Anjali Bhatia (ORCID: https://orcid.org/0000-0002-4829-8059)
- Balakrishnan Nair (ORCID: https://orcid.org/0000-0002-9100-4298)
- Rita Krishnamurthi (ORCID: https://orcid.org/0000-0003-0869-2083)
- Valery L. Feigin (ORCID: https://orcid.org/0000-0002-6372-1740)
- Annemarei Ranta (ORCID: https://orcid.org/0000-0002-3223-3330)
- Nathan I N Henry
Institutions
- Auckland University of Technology (NZ)
- University of Otago (NZ)
Publication Details
- Journal
- Neuroepidemiology
- Published
- 2024-09-09
- DOI
- https://doi.org/10.1159/000541368
- Primary Topic
- Artificial Intelligence in Healthcare and Education
- Type
- article
- Field-Weighted Citation Impact
- 0.00