Diabetic Foot: New Devices and AI for Clinical Diagnosis and Therapies in Personalized Medicine

A special issue of Journal of Personalized Medicine (ISSN 2075-4426). This special issue belongs to the section "Methodology, Drug and Device Discovery".

Deadline for manuscript submissions: 30 April 2025 | Viewed by 318

Special Issue Editors


E-Mail Website
Guest Editor
Diabetes Unit and Diabetes Foot Unit, Azienda Unità Sanitaria USL CENTRO Toscana (Area Pistoiese), San Jacopo Hospital, Via Ciliegiole, 51100 Pistoia, Italy
Interests: diabetes; diabetic foot; metabolic syndrome; obesity; physical activity; sport; biomechanics; posture; telemonitoring; data analysis
Special Issues, Collections and Topics in MDPI journals

E-Mail Website
Guest Editor
Diabetes Unit and Diabetes Foot Unit, Azienda Unità Sanitaria USL CENTRO Toscana (Area Pistoiese), San Jacopo Hospital, Via Ciliegiole, 51100 Pistoia, Italy
Interests: diabetes; diabetic foot; obesity; metabolic syndrome; epidemiology; physical activity; sport; telemedicine; data analysis
Special Issues, Collections and Topics in MDPI journals

E-Mail Website
Guest Editor
Department of Information Engineering, University of Florence, 50139 Florence, Italy
Interests: classification; algorithms; neural networks; segmentation; tracking; signal processing; image processing; image analysis; pattern recognition; computer vision

Special Issue Information

Dear Colleagues,

The prevalence of diabetes has significantly increased worldwide. Likewise, diabetic foot (DF), one of the most feared conditions among chronic complications of diabetes, affects a growing number of patients. Diabetic foot can significantly impact the quality of life and survival of patients and has important direct and indirect consequences for patients and health systems. Nowadays, the greater availability of new technologies and in particular systems and devices equipped with sensors and managed using AI solutions allows for the increasingly personalized treatment of patients.

This Special Issue will present submissions detailing the most recent clinical findings of diabetic foot diseases, with a focus on innovative technologies and artificial intelligence (AI) applications for clinical diagnosis, case management and treatment.

Dr. Piergiorgio Francia
Dr. Roberto Anichini
Dr. Leonardo Bocchi
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Journal of Personalized Medicine is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • diabetic foot ulcers
  • diabetic foot infections
  • diabetic foot mortality
  • diabetic foot treatment therapy
  • artificial intelligence
  • devices
  • diagnosis
  • personalized therapies
  • sensors
  • artificial intelligence
  • big data
  • data mining
  • data science
  • deep learning
  • machine learning
  • bioimage recognition
  • bioinformatics
  • neural network
  • biosignals

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Published Papers

This special issue is now open for submission.
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