• Appropriateness of Artificial...

Treffer: Appropriateness of Artificial Intelligence Chatbots in Diabetic Foot Ulcer Management: Reply.

Title:
Appropriateness of Artificial Intelligence Chatbots in Diabetic Foot Ulcer Management: Reply.
Authors:
Shiraishi M; Department of Plastic and Reconstructive Surgery, The University of Tokyo Hospital, Bunkyo-ku, Tokyo, Japan., Kanayama K; Department of Plastic and Reconstructive Surgery, The University of Tokyo Hospital, Bunkyo-ku, Tokyo, Japan., Lee H; Department of Plastic and Reconstructive Surgery, The University of Tokyo Hospital, Bunkyo-ku, Tokyo, Japan., Furuse K; Department of Plastic and Reconstructive Surgery, The University of Tokyo Hospital, Bunkyo-ku, Tokyo, Japan., Okazaki M; Department of Plastic and Reconstructive Surgery, The University of Tokyo Hospital, Bunkyo-ku, Tokyo, Japan.
Source:
The international journal of lower extremity wounds [Int J Low Extrem Wounds] 2026 Mar; Vol. 25 (1), pp. 259-260. Date of Electronic Publication: 2024 Jun 18.
Publication Type:
Journal Article; Letter
Language:
English
Journal Info:
Publisher: Sage Publications Country of Publication: United States NLM ID: 101128359 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1552-6941 (Electronic) Linking ISSN: 15347346 NLM ISO Abbreviation: Int J Low Extrem Wounds Subsets: MEDLINE
Imprint Name(s):
Original Publication: Thousand Oaks, CA : Sage Publications, c2002-
MeSH Terms:
Diabetic Foot*/therapy , Diabetic Foot*/diagnosis , Artificial Intelligence*, Humans ; Generative Artificial Intelligence
Contributed Indexing:
Keywords: ChatGPT; GPT-4; GPT-4o; artificial intelligence; diabetic foot ulcers
Entry Date(s):
Date Created: 20240618 Date Completed: 20260203 Latest Revision: 20260203
Update Code:
20260203
DOI:
10.1177/15347346241262942
PMID:
38887081
Database:
MEDLINE

Weitere Informationen

In response to the commentary by Daungsupawong and Wiwanitkit (doi: 10.1177/15347346241247914), we authored a reply letter addressing their concerns regarding our previous publication (doi: 10.1177/15347346241236811). Daungsupawong and Wiwanitkit highlighted that while the advancements in generative artificial intelligence (AI) chatbots show promise, several challenges remain in their application to diabetic foot ulcer (DFU) management. In our reply, we emphasized the recent improvements in chatbots' capabilities, particularly in image interpretation and non-English language communication. We posit that these challenges will be overcome in the near future, enabling the clinical implementation of AI chatbots for DFU management.

Declaration of Conflicting InterestsThe author(s) declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.