Publication Name	World Journal of Nephrology
Manuscript ID	124607
Country	United States

Category	Medicine, General & Internal
Manuscript Type	Correspondence
Article Title	Letter to the Editor: Artificial intelligence in nephrology point-of-care ultrasonography - opportunities, limitations, and future directions
Manuscript Source	Unsolicited Manuscript
All Author List	Abhilash Koratala, Filipa Ferreira and Hugo Diniz
Funding Agency and Grant Number
Corresponding Author	Abhilash Koratala, Division of Nephrology and Surgical Critical Care, Medical College of Wisconsin, 8701 West Watertown Plank Road, Milwaukee, WI 53226, United States. akoratala@mcw.edu
Key Words	Point-of-care ultrasound; Nephrology; Artificial intelligence; Automation; Large language models
Core Tip	Artificial intelligence (AI) has the potential to expand access to nephrology point-of-care ultrasonography through guidance of image acquisition, measurement automation, quality assurance, and clinical decision support. However, accurate image recognition does not necessarily equate to accurate physiologic interpretation, particularly in multi-organ hemodynamic assessment. AI should therefore be viewed as a tool that augments clinical judgment rather than replaces it.
Citation	Koratala A, Ferreira F, Diniz H. Letter to the Editor: Artificial intelligence in nephrology point-of-care ultrasonography - opportunities, limitations, and future directions. World J Nephrol 2026; In press

Received	2026-06-22 06:12
Peer-Review Started	2026-06-22 06:12
First Decision by Editorial Office Director
Return for Revision	2026-07-15 07:58
Revised	2026-07-15 21:59
Publication Fee Transferred
Second Decision by Editor	2026-07-27 02:43
Second Decision by Editor-in-Chief
Final Decision by Editorial Office Director	2026-07-27 07:25
Articles in Press	2026-07-27 07:25
Edit the Manuscript by Language Editor
Typeset the Manuscript

ISSN	2220-6124 (online)
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