Improving Readability of Stroke Clinical Trial Consent Forms Using Artificial Intelligence.

Saved in:
Bibliographic Details
Title: Improving Readability of Stroke Clinical Trial Consent Forms Using Artificial Intelligence.
Authors: Arora R; Department of Neurology, Northwell, New Hyde Park, NY (R.A., B.M.J.).; Department of Neurology, Zucker School of Medicine at Hofstra/Northwell, Hempstead, NY (R.A., B.M.J.)., Skolarus LE; Department of Neurology, Northwestern University Feinberg School of Medicine, Chicago, IL (L.E.S.)., Miller RM; Department of Neurology, University of Michigan, Ann Arbor (R.M.M., E.L.J., D.L.B.)., Sudhir G; Nirwal Hospital, Muzaffarnagar, India (G.S.)., Jacobs EL; Department of Neurology, University of Michigan, Ann Arbor (R.M.M., E.L.J., D.L.B.)., Jeswani BM; Department of Neurology, Northwell, New Hyde Park, NY (R.A., B.M.J.).; Department of Neurology, Zucker School of Medicine at Hofstra/Northwell, Hempstead, NY (R.A., B.M.J.)., Brown DL; Department of Neurology, University of Michigan, Ann Arbor (R.M.M., E.L.J., D.L.B.).
Source: Stroke [Stroke] 2026 Jul; Vol. 57 (7), pp. 2208-2211. Date of Electronic Publication: 2026 May 06.
Publication Type: Journal Article
Journal Info: Publisher: Lippincott Williams & Wilkins Country of Publication: United States NLM ID: 0235266 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1524-4628 (Electronic) Linking ISSN: 00392499 NLM ISO Abbreviation: Stroke Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1524-4628
DOI:10.1161/STROKEAHA.126.055985