Personalized and predictive strategies for diabetic foot ulcer prevention and therapeutic management: potential improvements through introducing Artificial Intelligence and wearable technology.

Ardelean A, Balta DF, Neamtu C, Neamtu AA, Rosu M, Totolici B

Open source

DOI
10.15386/mpr-2818
Published
2024 Oct
Container
Medicine and pharmacy reports
Publisher
Not recorded
Open access
yes

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BibTeX

@article{allodium:10.15386/mpr-2818,
  title = {Personalized and predictive strategies for diabetic foot ulcer prevention and therapeutic management: potential improvements through introducing Artificial Intelligence and wearable technology.},
  author = {Ardelean A and Balta DF and Neamtu C and Neamtu AA and Rosu M and Totolici B},
  year = {2024},
  journal = {Medicine and pharmacy reports},
  doi = {10.15386/mpr-2818},
  url = {https://doi.org/10.15386/mpr-2818}
}

RIS

TY  - JOUR
TI  - Personalized and predictive strategies for diabetic foot ulcer prevention and therapeutic management: potential improvements through introducing Artificial Intelligence and wearable technology.
AU  - Ardelean A
AU  - Balta DF
AU  - Neamtu C
AU  - Neamtu AA
AU  - Rosu M
AU  - Totolici B
PY  - 2024
JO  - Medicine and pharmacy reports
DO  - 10.15386/mpr-2818
UR  - https://doi.org/10.15386/mpr-2818
ER  - 

APA

A, A., DF, B., C, N., AA, N., M, R., & B, T. (2024). Personalized and predictive strategies for diabetic foot ulcer prevention and therapeutic management: potential improvements through introducing Artificial Intelligence and wearable technology.. Medicine and pharmacy reports. https://doi.org/10.15386/mpr-2818

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