Display options
Cite
Valliani AA, Ranti D, Oermann EK. Deep Learning and Neurology: A Systematic Review. Neurol Ther. 2019;8(2):351-365doi: 10.1007/s40120-019-00153-8.
Valliani, A. A., Ranti, D., & Oermann, E. K. (2019). Deep Learning and Neurology: A Systematic Review. Neurology and therapy, 8(2), 351-365. https://doi.org/10.1007/s40120-019-00153-8
Valliani, Aly Al-Amyn, et al. "Deep Learning and Neurology: A Systematic Review." Neurology and therapy vol. 8,2 (2019): 351-365. doi: https://doi.org/10.1007/s40120-019-00153-8
Valliani AA, Ranti D, Oermann EK. Deep Learning and Neurology: A Systematic Review. Neurol Ther. 2019 Dec;8(2):351-365. doi: 10.1007/s40120-019-00153-8. Epub 2019 Aug 21. PMID: 31435868; PMCID: PMC6858915.
Copy Download .nbib Format: NLM
Share it on

Neurol Ther. 2019 Dec;8(2):351-365. doi: 10.1007/s40120-019-00153-8. Epub 2019 Aug 21.

Deep Learning and Neurology: A Systematic Review.

Neurology and therapy

Aly Al-Amyn Valliani, Daniel Ranti, Eric Karl Oermann

Affiliations

  1. Department of Neurological Surgery, Mount Sinai Health System, 1 Gustave Levy Pl, New York, NY, 10029, USA.
  2. Department of Neurological Surgery, Mount Sinai Health System, 1 Gustave Levy Pl, New York, NY, 10029, USA. [email protected].

PMID: 31435868 PMCID: PMC6858915 DOI: 10.1007/s40120-019-00153-8

Abstract

Deciphering the massive volume of complex electronic data that has been compiled by hospital systems over the past decades has the potential to revolutionize modern medicine, as well as present significant challenges. Deep learning is uniquely suited to address these challenges, and recent advances in techniques and hardware have poised the field of medical machine learning for transformational growth. The clinical neurosciences are particularly well positioned to benefit from these advances given the subtle presentation of symptoms typical of neurologic disease. Here we review the various domains in which deep learning algorithms have already provided impetus for change-areas such as medical image analysis for the improved diagnosis of Alzheimer's disease and the early detection of acute neurologic events; medical image segmentation for quantitative evaluation of neuroanatomy and vasculature; connectome mapping for the diagnosis of Alzheimer's, autism spectrum disorder, and attention deficit hyperactivity disorder; and mining of microscopic electroencephalogram signals and granular genetic signatures. We additionally note important challenges in the integration of deep learning tools in the clinical setting and discuss the barriers to tackling the challenges that currently exist.

Keywords: Artificial intelligence; Biomedical informatics; Computer vision; Connectome mapping; Deep learning; Genomics; Machine learning; Neurology; Neuroscience

References

  1. Front Biosci (Landmark Ed). 2018 Jan 1;23:584-596 - PubMed
  2. Biomed Inform Insights. 2016 Jan 19;8:1-10 - PubMed
  3. Med Image Comput Comput Assist Interv. 2013;16(Pt 2):583-90 - PubMed
  4. Nature. 2017 Feb 2;542(7639):115-118 - PubMed
  5. Dement Geriatr Cogn Disord. 2004;18(2):180-8 - PubMed
  6. PLoS Med. 2018 Nov 6;15(11):e1002683 - PubMed
  7. Eur J Radiol. 2019 May;114:14-24 - PubMed
  8. Neurobiol Dis. 2010 Mar;37(3):519-33 - PubMed
  9. Front Aging Neurosci. 2019 Jun 27;11:150 - PubMed
  10. Comput Biol Med. 2019 Jun;109:218-225 - PubMed
  11. Nat Biomed Eng. 2019 Mar;3(3):173-182 - PubMed
  12. JAMA. 2016 Dec 13;316(22):2402-2410 - PubMed
  13. Nature. 2015 May 28;521(7553):436-44 - PubMed
  14. BMC Proc. 2012 May 21;6 Suppl 2:S10 - PubMed
  15. Sci Rep. 2017 Sep 15;7(1):11707 - PubMed
  16. Lancet. 2018 Dec 1;392(10162):2388-2396 - PubMed
  17. J Neuropathol Exp Neurol. 2005 Jun;64(6):479-89 - PubMed
  18. Neurology. 2010 Jan 19;74(3):201-9 - PubMed
  19. Radiology. 2018 May;287(2):570-580 - PubMed
  20. J Digit Imaging. 2017 Aug;30(4):392-399 - PubMed
  21. IEEE Trans Biomed Eng. 2015 Apr;62(4):1132-40 - PubMed
  22. Radiology. 2019 Feb;290(2):456-464 - PubMed
  23. Clin Neurophysiol. 2018 Oct;129(10):2191-2196 - PubMed
  24. Psychol Rev. 1958 Nov;65(6):386-408 - PubMed
  25. Comput Biol Med. 2018 Aug 1;99:24-37 - PubMed
  26. Proc Natl Acad Sci U S A. 2018 Mar 27;115(13):E2970-E2979 - PubMed
  27. Neuroimage. 2018 Apr 15;170:434-445 - PubMed
  28. Nat Genet. 2019 Jun;51(6):973-980 - PubMed
  29. IEEE Trans Med Imaging. 2015 Oct;34(10):1993-2024 - PubMed
  30. Front Neuroinform. 2017 Oct 17;11:61 - PubMed
  31. Comput Biol Med. 2018 Sep 1;100:270-278 - PubMed
  32. Science. 2006 Jul 28;313(5786):504-7 - PubMed
  33. Nat Biomed Eng. 2018 Mar;2(3):158-164 - PubMed
  34. Brain Struct Funct. 2015 Mar;220(2):841-59 - PubMed
  35. Nat Rev Genet. 2012 May 02;13(6):395-405 - PubMed
  36. Cortex. 2015 Feb;63:55-67 - PubMed
  37. IEEE Trans Biomed Eng. 2018 Sep;65(9):2109-2118 - PubMed
  38. Nat Neurosci. 2017 Dec;20(12):1752-1760 - PubMed
  39. NPJ Digit Med. 2018 Apr 4;1:9 - PubMed
  40. Med Image Anal. 2018 May;46:106-117 - PubMed
  41. Ann Oncol. 2018 Aug 1;29(8):1836-1842 - PubMed
  42. Neuron. 2002 Jan 31;33(3):341-55 - PubMed
  43. Front Neurosci. 2019 Feb 28;13:97 - PubMed
  44. Nat Med. 2018 Sep;24(9):1337-1341 - PubMed
  45. Prog Neuropsychopharmacol Biol Psychiatry. 2016 Jan 4;64:1-9 - PubMed
  46. IEEE Trans Pattern Anal Mach Intell. 2013 Aug;35(8):1798-828 - PubMed
  47. Nat Med. 2018 Sep;24(9):1342-1350 - PubMed
  48. Neuroimage. 2016 Apr 1;129:292-307 - PubMed
  49. Curr Opin Neurol. 2001 Dec;14(6):683-8 - PubMed
  50. Brain Struct Funct. 2016 Jun;221(5):2569-87 - PubMed

Publication Types