Evidence map›Paper›PMID 38367046›Full record

ReviewJournal of neurology2024

Artificial intelligence in neurology: opportunities, challenges, and policy implications.

Sebastian Voigtlaender, Johannes Pawelczyk, Mario Geiger, Eugene J Vaios, Philipp Karschnia, Merit Cudkowicz, Jorg Dietrich, Ira R J Hebold Haraldsen, Valery Feigin, Mayowa Owolabi and 5 more

Abstract readReview
In one paragraph

Review in Journal of neurology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 47 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
47citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

47 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Potential Roles of Neuroimaging in Motor Neuron Disease.Current neurology and neuroscience reports · 2026
    Review
  3. Review
  4. Article
  5. What every neurologist should know about artificial "intelligence".Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2026
    Article
  6. Article
  7. Review
  8. Review
  9. Article
  10. Review
  11. Article
  12. Review
  13. Article
  14. Review
  15. Review
  16. Article
  17. Article
  18. Article
  19. Review
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

15 authors.

Sebastian Voigtlaender *Systems Neuroscience Division, Max-Planck-Institute for Biological Cybernetics, Tübingen, Germany.
Johannes PawelczykFaculty of Medicine, Ruprecht-Karls-University, Heidelberg, Germany.
Mario GeigerDepartment of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, Cambridge, MA, USA.
Eugene J VaiosDepartment of Radiation Oncology, Duke University Medical Center, Durham, NC, USA.
Philipp KarschniaDepartment of Neurosurgery, Ludwig-Maximilians-University and University Hospital Munich, Munich, Germany.
Merit CudkowiczDepartment of Neurology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA.
Jorg DietrichDepartment of Neurology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA.
Ira R J Hebold HaraldsenDepartment of Neurology, Division of Clinical Neuroscience, Oslo University Hospital, Oslo, Norway.
Valery FeiginNational Institute for Stroke and Applied Neurosciences, Auckland University of Technology, Auckland, New Zealand.
Mayowa OwolabiCenter for Genomics and Precision Medicine, College of Medicine, University of Ibadan, Ibadan, Nigeria.
Tara L WhiteDepartment of Behavioral and Social Sciences, Brown University, Providence, RI, USA.
Paweł ŚwiebodaHuman Brain Project, European Union, Brussels, Belgium.
Nita FarahanyDuke University School of Law, Durham, NC, USA.
Vivek NatarajanGoogle Research, Mountain View, CA, USA.
Sebastian F Winter *Department of Neurology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA. sfwinter@mgh.harvard.edu.ORCID http://orcid.org/0000-0001-8836-0235

Funding

Duke Radiation Oncology and Radiology Stimulating Access to Research in ResidencyR38CA245204 · NCI · DUKE UNIVERSITY · PI FLOYD, SCOTT R · 2020 to 2023
$1.4M
Cell-Free DNA Methylation Patterns as a Biomarker for Tumor Biology and Clinical Outcomes for Glioblastoma PatientsK38CA292995 · NCI · DUKE UNIVERSITY · PI Eugene Vaios · 2024 to 2026
$276k
NCI NIH HHS K38 CA292995NCI NIH HHS R38 CA245204NIH/NCI (StARR) Program (R38) Award 5R38-CA245204
6 · The paper itself

Abstract

Neurological conditions are the leading cause of disability and mortality combined, demanding innovative, scalable, and sustainable solutions. Brain health has become a global priority with adoption of the World Health Organization's Intersectoral Global Action Plan in 2022. Simultaneously, rapid advancements in artificial intelligence (AI) are revolutionizing neurological research and practice. This scoping review of 66 original articles explores the value of AI in neurology and brain health, systematizing the landscape for emergent clinical opportunities and future trends across the care trajectory: prevention, risk stratification, early detection, diagnosis, management, and rehabilitation. AI's potential to advance personalized precision neurology and global brain health directives hinges on resolving core challenges across four pillars-models, data, feasibility/equity, and regulation/innovation-through concerted pursuit of targeted recommendations. Paramount actions include swift, ethical, equity-focused integration of novel technologies into clinical workflows, mitigating data-related issues, counteracting digital inequity gaps, and establishing robust governance frameworks balancing safety and innovation.

Indexed as

Artificial IntelligenceNeurologyHealth PolicyHumansNervous System DiseasesArtificial intelligenceBrain healthDigital healthFuture trendsMachine learningNeurologyPolicy

Identifiers

PMID38367046
PMCPMC12239762

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.