Literature DB >> 30887702

Artificial intelligence and machine learning in wound care-The wounded machine!

Douglas Queen.   

Abstract

Mesh：

Year:  2019        PMID： 30887702      PMCID： PMC7948899          DOI： 10.1111/iwj.13108

Source DB:  PubMed          Journal:  Int Wound J        ISSN： 1742-4801            Impact factor:   3.315


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  3 in total

1.  Data-driven specialisation of wound care through artificial intelligence.

Authors:  Douglas Queen; Keith Harding
Journal:  Int Wound J       Date:  2019-08       Impact factor: 3.315

2.  What COVID-19 taught us: New opportunities and pathways from telemedicine and novel antiseptics in wound healing.

Authors:  Alessandro Scalise; Marco Falcone; Giampiero Avruscio; Enrico Brocco; Eugenio Ciacco; Aurora Parodi; Rolando Tasinato; Elia Ricci
Journal:  Int Wound J       Date:  2021-10-02       Impact factor: 3.099

3.  Development of a Method for Clinical Evaluation of Artificial Intelligence-Based Digital Wound Assessment Tools.

Authors:  Raelina S Howell; Helen H Liu; Aziz A Khan; Jon S Woods; Lawrence J Lin; Mayur Saxena; Harshit Saxena; Michael Castellano; Patrizio Petrone; Eric Slone; Ernest S Chiu; Brian M Gillette; Scott A Gorenstein
Journal:  JAMA Netw Open       Date:  2021-05-03
  3 in total

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