Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2025 May 1;8(1):234.
doi: 10.1038/s41746-025-01659-2.

Collection of the digital data from the neurological examination

Affiliations

Collection of the digital data from the neurological examination

Bruno Kusznir Vitturi et al. NPJ Digit Med. .

Erratum in

Abstract

This review presents the status quo of how far the digitalization of elements of the neurological examination has progressed. Our focus was on studies that assessed the examination conducted in person, rather than through telemedicine platforms. Five hundred and twenty studies were included in this systematic review. The digital tools covered ten elements of the neurological examination: gait (173, 33%), motor system (149, 29%), eyes (85, 16%), cognitive functions (53, 10%), sensory system (47, 9%), balance (35, 7%), other movements (24, 5%), other cranial nerves (24, 5%), coordination (10, 2%), and autonomic nervous system (9, 2%). Most of the tools were portable (442, 85%), and in 215 studies (41%) the devices were wearable. The cost of the digital tools used was described and discussed in 167 (32%) studies. Most devices (61%) had a low complexity, and half required high additional analytic effort.

PubMed Disclaimer

Conflict of interest statement

Competing interests: The authors declare no competing interests.

Figures

Fig. 1
Fig. 1
PRISMA flowchart.

Similar articles

Cited by

References

    1. The Lancet Digital Health Digital technologies: a new determinant of health. Lancet Digit. Health3, e684 (2021). - PubMed
    1. Rajkomar, A., Dean, J. & Kohane, I. Machine learning in medicine. N. Engl. J. Med.380, 1347–1358 (2019). - PubMed
    1. Vitturi, B. K. & Sanvito, W. L. Pierre Mollaret (1898-1987). J. Neurol.266, 1290–1291 (2019). - PubMed
    1. Williams, G. J. et al. Wearable technology and the cardiovascular system: the future of patient assessment. Lancet Digit. Health5, e467–e476 (2023). - PubMed
    1. Lees, J., Bearman, M., Risor, T. & Sweet, L. Technology complements physical examination and facilitates skills development among health sciences clerkship students: an integrative literature review. Perspect. Med. Educ.2, 109–119 (2023). - PMC - PubMed

LinkOut - more resources