The automated lab
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?
The application of ML in diabetes care and research has been widely explored in basic biomedical research, translational research, and clinical practice.
“The application of ML in diabetes care and research has been widely explored in basic biomedical research,16 translational research,14 and clinical practice17 (Figure 1).”
From Artificial intelligence in diabetes management: Advancements, opportunities, and challenges (2023) · cites this paper as [16]
Cited by
Sorted by citations
Artificial intelligence in healthcare
Yu, K.-H., Beam, A. L., & Kohane, I. S. (2018) · Nature Biomedical Engineering · doi:10.1038/s41551-018-0305-z · Cited by 2,817 · see citing works
Albahri, A. S., Duhaim, A. M., Fadhel, M. A., Alnoor, A., Baqer, N. S., Alzubaidi, L., Albahri, O. S., Alamoodi, A. H., Bai, J., Salhi, A., et al. (2023) · Information Fusion · doi:10.1016/j.inffus.2023.03.008 · Cited by 716 · see citing works
Artificial intelligence in diabetes management: Advancements, opportunities, and challenges
Guan, Z., Li, H., Liu, R., Cai, C., Liu, Y., Li, J., Wang, X., Huang, S., Wu, L., Liu, D., et al. (2023) · Cell Reports Medicine · doi:10.1016/j.xcrm.2023.101213 · Cited by 287 · see citing works
“15 The application of ML in diabetes care and research has been widely explored in basic biomedical research, 16 translational research, 14 and clinical practice 17 (Figure 1).”
BackgroundMethod
- Authors
- Check Hayden, E.
- Venue
- Nature
- Published
- 2014-12-03
- Volume
- 516
- Issue
- 7529
- Pages
- 131-132
- ISSN
- 0028-0836 (ISSN-L)
- 1476-4687
- OpenAlex
- W2002411185
- Cited by
- 72
- References
- 0
- Citations by year
- 2026: 1 · 2024: 9 · 2023: 4 · 2022: 8 · 2021: 4 · 2020: 11 · 2019: 10 · 2018: 7 · 2017: 8 · 2016: 6 · 2015: 3 · 2014: 1
- FWCI
- 11.45
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- Locations
- Nature (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Social Sciences › Decision Sciences › Information Systems and Management › Scientific Computing and Data Management
- Physical Sciences › Engineering › Industrial and Manufacturing Engineering › Robotic Process Automation Applications
- Physical Sciences › Computer Science › Information Systems › Research Data Management Practices
- Keywords
- laboratory automation, robotics, research efficiency, research reliability, start-up firms
- MeSH terms
- Automation, Research, Software
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 ›
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