Publication Name	Artificial Intelligence in Medical Imaging
Manuscript ID	55082
Country	United Kingdom

Received	2020-03-17 15:43
Peer-Review Started	2020-03-17 15:44
To Make the First Decision
Return for Revision	2020-06-05 05:16
Revised	2020-06-15 07:48
Second Decision	2020-06-17 09:31
Accepted by Journal Editor-in-Chief
Accepted by Executive Editor-in-Chief	2020-06-17 20:49
Articles in Press	2020-06-17 20:49
Publication Fee Transferred
Edit the Manuscript by Language Editor
Typeset the Manuscript	2020-07-02 12:51
Publish the Manuscript Online	2020-07-10 05:53

ISSN	2644-3260 (online)
Open Access	This article is an open-access article that was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution NonCommercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/
Copyright	© The Author(s) 2020. Published by Baishideng Publishing Group Inc. All rights reserved.
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Category	Geriatrics & Gerontology
Manuscript Type	Case Report
Article Title	Cerebral amyloid angiopathy vs Alzheimer’s dementia: Diagnostic conundrum
Manuscript Source	Invited Manuscript
All Author List	Jamie Arberry, Sarneet Singh and Ruth Akiyo Mizoguchi
ORCID	Author(s) ORCID Number Jamie Arberry http://orcid.org/0000-0001-9485-5576 Sarneet Singh http://orcid.org/0000-0003-1279-4760 Ruth Akiyo Mizoguchi http://orcid.org/0000-0001-8938-5477
Funding Agency and Grant Number
Corresponding Author	Jamie Arberry, BM BCh, Doctor, Doctor, Chelsea and Westminster Hospital, 369 Fulham Palace Road, London SW10 9NH, United Kingdom. jamie.arberry@nhs.net
Key Words	Alzheimer’s dementia; Cerebral amyloid angiopathy; Cognitive impairment; Microhaemorrhages; Artificial intelligence; Case report
Core Tip	This case represents the complexities of diagnosing dementia subtypes with an unusual presentation for what is likely Alzheimer’s dementia, rather than cerebral amyloid angiopathy as per initial magnetic resonance imaging brain. In such cases, imaging can potentially influence the diagnostic accuracy, which might ultimately result in misdiagnosis and hence alter the management plan. We argue that artificial intelligence and image automation could avoid such diagnostic oversights.
Publish Date	2020-07-10 05:53
Citation	Arberry J, Singh S, Mizoguchi RA. Cerebral amyloid angiopathy vs Alzheimer’s dementia: Diagnostic conundrum. Artif Intell Med Imaging 2020; 1(1): 65-69
URL	https://www.wjgnet.com/2644-3260/full/v1/i1/65.htm
DOI	https://dx.doi.org/10.35711/aimi.v1.i1.65

Full Article (PDF)	AIMI-1-65.pdf
Full Article (Word)	AIMI-1-65.docx
CARE Checklist–2016	55082-CARE-Checklist–2016-revision.pdf
Manuscript File	55082-Review.docx
Answering Reviewers	55082-Answering reviewers.pdf
Audio Core Tip	55082-Audio core tip.m4a
Conflict-of-Interest Disclosure Form	55082-Conflict-of-interest statement.pdf
Copyright License Agreement	55082-Copyright license agreement.pdf
Signed Informed Consent Form(s) or Document(s)	55082-Informed consent statement.pdf
Peer-review Report	55082-Peer-review(s).pdf
Scientific Misconduct Check	55082-Scientific misconduct check.pdf
Scientific Editor Work List	55082-Scientific editor work list.pdf
CrossCheck Report	55082-CrossCheck report.pdf