Apple moves on health, drug developers shift into smart gear
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
With the help of wireless systems and AI, wearable smart sensors can be personalized and accessible to patients anywhere and anytime.
“With the help of wireless systems and AI, these wearable smart sensors can be personalized and be accessible to patients anywhere and anytime [31,32] (Figure 1b).”
From The emergence of AI-based wearable sensors for digital health technology: a review (2023) · cites this paper as [32]
Cites
Video game training enhances cognitive control in older adults
Anguera, J. A., Boccanfuso, J., Rintoul, J. L., Al-Hashimi, O., Faraji, F., Janowich, J., Kong, E., Larraburo, Y., Rolle, C., Johnston, E., et al. (2013) · Nature · doi:10.1038/nature12486 · Cited by 1,666 · see citing works
Putting brain training to the test
Owen, A. M., Hampshire, A., Grahn, J. A., Stenton, R., Dajani, S., Burns, A. S., Howard, R. J., & Ballard, C. G. (2010) · Nature · doi:10.1038/nature09042 · Cited by 1,056 · see citing works
Novartis signs up for Google smart lens
Senior, M. (2014) · Nature Biotechnology · doi:10.1038/nbt0914-856 · Cited by 152 · see citing works
Borness, C., Proudfoot, J. G., Crawford, J., & Valenzuela, M. (2013) · PLoS ONE · doi:10.1371/journal.pone.0059982 · Cited by 40 · see citing works
Miniature wireless sensors presage smart phone medicine
Eisenstein, M. S. (2012) · Nature Biotechnology · doi:10.1038/nbt1112-1013 · Cited by 6 · see citing works
Flagged first, then by citations
Cited by
Sorted by citations
The emergence of AI-based wearable sensors for digital health technology: a review
Shajari, S., Kuruvinashetti, K., Komeili, A., & Sundararaj, U. (2023) · Sensors · doi:10.3390/s23239498 · Cited by 535 · see citing works
- Authors
- Sheridan, C.
- Corresponding author
- Sheridan, Cormac
- Venue
- Nature Biotechnology
- Published
- 2014-10
- Volume
- 32
- Issue
- 10
- Pages
- 965-966
- ISSN
- 0733-222X (ISSN-L)
- 1087-0156
- 1546-1696
- OpenAlex
- W1965272892
- Cited by
- 14
- References
- 5
- Citations by year
- 2023: 2 · 2022: 1 · 2021: 2 · 2020: 1 · 2019: 1 · 2018: 1 · 2017: 1 · 2016: 4 · 2015: 1
- Type
- other
- Language
- en
- Open access
- closed
- Licence
- www.springer.com/tdm (tdm)
- Locations
- Nature Biotechnology (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Technology and Human Factors in Education and Health
- Social Sciences › Economics, Econometrics and Finance › Economics and Econometrics › Pharmaceutical Economics and Policy
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Biotechnology and Related Fields
- Keywords
- Apple Inc., health technology, wearable devices, drug development, smart devices
- MeSH terms
- Humans, Medical Informatics Applications, Microcomputers, Telemedicine, Technology Transfer, Monitoring, Ambulatory, Cell Phone, Vital Signs
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
