Skip to main content
SpringerLink
Log in

Pro: Neurocritical Care Big Data and AI: It’s About Expertise

  • Big Data in Neurocritical Care
  • Published:
Neurocritical Care Aims and scope Submit manuscript

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

References

  1. Hounsfield G. Computed medical imaging. Nobel lecture, December 8, 1979. J Comput Assist Tomogr. 1980;4(5):665–74.

    Article  CAS  Google Scholar 

  2. Dhar R, Falcone GJ, Chen Y, Hamzehloo A, Kirsch EP, Noche RB, et al. Deep learning for automated measurement of hemorrhage and perihematomal edema in supratentorial intracerebral hemorrhage. Stroke. 2020;51(2):648–51.

    Article  Google Scholar 

  3. Sackett DL, Rosenberg WM, Gray JA, Haynes RB, Richardson WS. Evidence based medicine: what it is and what it isn’t. BMJ. 1996;312(7023):71–2.

    Article  CAS  Google Scholar 

  4. Enright C, Madden M, Russell S, Aleks N, Manley G, Laffey J, et al. Modelling glycemia in ICU patients—a dynamic Bayesian network approach. In: Proceedings of the third international conference on bio-inspired systems and signal processing 2010;1 (Biosignals):452–9.

  5. Shrestha GS, Suarez JI, Hemphill JC 3rd. Precision medicine in neurocritical care. JAMA Neurol. 2018;75(12):1463–4.

    Article  Google Scholar 

  6. Guiza F, Depreitere B, Piper I, Citerio G, Chambers I, Jones PA, et al. Visualizing the pressure and time burden of intracranial hypertension in adult and paediatric traumatic brain injury. Intensive Care Med. 2015;41(6):1067–76.

    Article  Google Scholar 

Download references

Funding

This work received no funding.

Author information

Authors and Affiliations

  1. Department of Neurology, Zuckerberg San Francisco General Hospital, University of California, San Francisco, Building 1, Room 101, 1001 Potrero Avenue, San Francisco, CA, 94110, USA

    J. Claude Hemphill III

Authors
  1. J. Claude Hemphill III
    View author publications

    You can also search for this author in PubMed Google Scholar

Contributions

Dr. JCH conceived and wrote the full manuscript and accepts sole responsibility for its content.

Corresponding author

Correspondence to J. Claude Hemphill III.

Ethics declarations

Conflicts of interest

The author does not have relevant disclosures or conflicts of interest related to this article.

Ethical approval/informed consent

This manuscript complies with all ethical guidelines and there are no aspects directly involving human participant research.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Springer Nature or its licensor holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Hemphill, J.C. Pro: Neurocritical Care Big Data and AI: It’s About Expertise. Neurocrit Care 37 (Suppl 2), 160–162 (2022). https://doi.org/10.1007/s12028-021-01434-7

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s12028-021-01434-7

Search

Navigation