Publication Name	World Journal of Clinical Cases
Manuscript ID	98113
Country	India

Received	2024-06-18 07:27
Peer-Review Started	2024-06-18 07:27
To Make the First Decision
Return for Revision	2024-09-01 16:50
Revised	2024-09-11 12:28
Second Decision	2024-09-18 02:49
Accepted by Journal Editor-in-Chief
Accepted by Executive Editor-in-Chief	2024-09-19 12:59
Articles in Press	2024-09-19 12:59
Publication Fee Transferred
Edit the Manuscript by Language Editor
Typeset the Manuscript	2024-09-20 06:44
Publish the Manuscript Online	2024-09-27 08:43

ISSN	2307-8960 (online)
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Category	Anesthesiology
Manuscript Type	Minireviews
Article Title	Current evidence on artificial intelligence in regional anesthesia
Manuscript Source	Invited Manuscript
All Author List	Bhanu Pratap Swain, Deb Sanjay Nag, Rishi Anand, Himanshu Kumar, Pradip Kumar Ganguly and Niharika Singh
ORCID	Author(s) ORCID Number Deb Sanjay Nag http://orcid.org/0000-0003-2200-9324
Funding Agency and Grant Number
Corresponding Author	Deb Sanjay Nag, MD, Doctor, Doctor, Department of Anaesthesiology, Tata Main Hospital, C Road West, Northern Town, Bistupur, Jamshedpur 831001, India. ds.nag@tatasteel.com
Key Words	Artificial intelligence; Regional anesthesia; Machine learning; Ultrasonography; Nerve block
Core Tip	Proficiency in ultrasound-guided regional anesthesia (UGRA) demands an accurate interpretation of sono-anatomy and precise delivery of local anesthetics in the intended location by maneuvering a block needle. Integration of artificial intelligence (AI) can make the job of clinicians a lot easier by deciphering the correct anatomy and providing real-time needle guidance. It promises to improve the success of the UGRA procedures and reduce the complication rate by minimizing human error. Furthermore, AI can be a great tool in education and training. It can help the trainees to learn regional anesthesia techniques faster and more efficiently. Although the future looks promising, the full integration of AI in clinical practice needs user validation and ample data on clinical outcomes.
Publish Date	2024-09-27 08:43
Citation	<p>Swain BP, Nag DS, Anand R, Kumar H, Ganguly PK, Singh N. Current evidence on artificial intelligence in regional anesthesia. <i>World J Clin Cases</i> 2024; 12(33): 6613-6619</p>
URL	https://www.wjgnet.com/2307-8960/full/v12/i33/6613.htm
DOI	https://dx.doi.org/10.12998/wjcc.v12.i33.6613

Full Article (PDF)	WJCC-12-6613-with-cover.pdf
Manuscript File	98113_Auto_Edited_020904.docx
Answering Reviewers	98113-answering-reviewers.pdf
Audio Core Tip	98113-audio.m4a
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Scientific Editor Work List	98113-scientific-editor-work-list.pdf
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