Artificial Intelligence for Automatic Pain Assessment: Research Methods and Perspectives.

Cascella M, Schiavo D, Cuomo A, Ottaiano A, Perri F, Patrone R, Migliarelli S, Bignami EG, Vittori A, Cutugno F

DOI: 10.1155/2023/6018736
Published: 2023
Container: Pain research & management
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.1155/2023/6018736,
  title = {Artificial Intelligence for Automatic Pain Assessment: Research Methods and Perspectives.},
  author = {Cascella M and Schiavo D and Cuomo A and Ottaiano A and Perri F and Patrone R and Migliarelli S and Bignami EG and Vittori A and Cutugno F},
  year = {2023},
  journal = {Pain research \& management},
  doi = {10.1155/2023/6018736},
  url = {https://doi.org/10.1155/2023/6018736}
}

RIS

TY  - JOUR
TI  - Artificial Intelligence for Automatic Pain Assessment: Research Methods and Perspectives.
AU  - Cascella M
AU  - Schiavo D
AU  - Cuomo A
AU  - Ottaiano A
AU  - Perri F
AU  - Patrone R
AU  - Migliarelli S
AU  - Bignami EG
AU  - Vittori A
AU  - Cutugno F
PY  - 2023
JO  - Pain research & management
DO  - 10.1155/2023/6018736
UR  - https://doi.org/10.1155/2023/6018736
ER  -

APA

M, C., D, S., A, C., A, O., F, P., R, P., S, M., EG, B., A, V., & F, C. (2023). Artificial Intelligence for Automatic Pain Assessment: Research Methods and Perspectives.. Pain research & management. https://doi.org/10.1155/2023/6018736

Source records

pubmed · retrieved 2026-09-26T19:10:25.058Z