Systematic review protocol to assess artificial intelligence diagnostic accuracy performance in detecting acute ischaemic stroke and large-vessel occlusions on CT and MR medical imaging.

Kundeti, Srinivasa Rao; Vaidyanathan, Manikanda Krishnan; Shivashankar, Bharath; Gorthi, Sankar Prasad

Kundeti, Srinivasa Rao; Vaidyanathan, Manikanda Krishnan; Shivashankar, Bharath; Gorthi, Sankar Prasad.

Affiliation

Kundeti SR; Department of Neurology, Kasturba Medical College, Manipal Academy of Higher Education, Manipal, India srinivasa.rao@learner.manipal.edu.
Vaidyanathan MK; Philips Research, Philips Innovation Campus, Bangalore, India.
Shivashankar B; Philips Research, Philips Innovation Campus, Bangalore, India.
Gorthi SP; Philips Research, Philips Innovation Campus, Bangalore, India.

BMJ Open ; 11(3): e043665, 2021 03 10.

Article in En | MEDLINE | ID: mdl-33692180

Subject(s)

Brain Ischemia; Ischemic Stroke; Stroke; Artificial Intelligence; Brain Ischemia/diagnostic imaging; Humans; Meta-Analysis as Topic; Research Design; Stroke/diagnostic imaging; Systematic Reviews as Topic; Tomography, X-Ray Computed

Key words

computed tomography; head & neck imaging; magnetic resonance imaging; stroke

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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Brain Ischemia / Stroke / Ischemic Stroke Type of study: Diagnostic_studies / Guideline / Prognostic_studies / Systematic_reviews Aspects: Ethics Limits: Humans Language: En Journal: BMJ Open Year: 2021 Document type: Article Affiliation country: India

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