Publication Name	World Journal of Diabetes
Manuscript ID	88565
Country	India

Received	2023-09-28 17:14
Peer-Review Started	2023-09-28 17:14
To Make the First Decision
Return for Revision	2023-12-15 07:22
Revised	2023-12-19 09:48
Second Decision	2024-01-30 01:15
Accepted by Journal Editor-in-Chief
Accepted by Executive Editor-in-Chief	2024-02-06 05:58
Articles in Press	2024-02-06 05:58
Publication Fee Transferred
Edit the Manuscript by Language Editor
Typeset the Manuscript	2024-03-07 07:58
Publish the Manuscript Online	2024-03-15 09:49

ISSN	1948-9358 (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: https://creativecommons.org/Licenses/by-nc/4.0/
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Category	Cardiac & Cardiovascular Systems
Manuscript Type	Editorial
Article Title	Unlocking new potential of clinical diagnosis with artificial intelligence: Finding new patterns of clinical and lab data
Manuscript Source	Invited Manuscript
All Author List	Pradeep Kumar Dabla
ORCID	Author(s) ORCID Number Pradeep Kumar Dabla http://orcid.org/0000-0003-1409-6771
Funding Agency and Grant Number
Corresponding Author	Pradeep Kumar Dabla, MD, Professor, Department of Biochemistry, Govind Ballabh Pant Institute of Postgraduate Medical Education and Research, J.L.N Marg, Delhi 110002, India. pradeep_dabla@yahoo.com
Key Words	Laboratory medicine; Artificial intelligence; Machine learning; Association rule mining; Cardiovascular diseases
Core Tip	The integration of artificial intelligence (AI) and machine learning in laboratory medicine presents a promising opportunity to improve the patient care, particularly in the context of multi-factorial cardiovascular diseases. However, it is essential to approach this transformation carefully, side by side addressing ethical considerations, biases, while ensuring its responsible implementation through the collaboration between the technology experts and the healthcare professionals. Education and training are key to unlocking the full potential of AI while safeguarding patient privacy and data.
Publish Date	2024-03-15 09:49
Citation	Dabla PK. Unlocking new potential of clinical diagnosis with artificial intelligence: Finding new patterns of clinical and lab data. World J Diabetes 2024; 15(3): 308-310
URL	https://www.wjgnet.com/1948-9358/full/v15/i3/308.htm
DOI	https://dx.doi.org/10.4239/wjd.v15.i3.308

Full Article (PDF)	WJD-15-308-with-cover.pdf
Full Article (Word)	WJD-15-308.docx
Manuscript File	88565_Auto_Edited-YJP.doc
Answering Reviewers	88565-Answering reviewers.pdf
Audio Core Tip	88565-Audio core tip.m4a
Conflict-of-Interest Disclosure Form	88565-Conflict-of-interest statement .pdf
Copyright License Agreement	88565-Copyright license agreement.pdf
Non-Native Speakers of English Editing Certificate	88565-Language certificate.pdf
Peer-review Report	88565-Peer-review(s).pdf
Scientific Misconduct Check	88565-Bing-Qu XL-2.png
Scientific Editor Work List	88565-Scientific editor work list.pdf
CrossCheck Report	88565-CrossCheck report.pdf