Artificial intelligence-driven risk prediction of polypharmacy in older adults: current advances, clinical applications, and future perspectives.

Chen J, Tao L

DOI: 10.3389/fpubh.2026.1921129
Published: 2026
Container: Frontiers in public health
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.3389/fpubh.2026.1921129,
  title = {Artificial intelligence-driven risk prediction of polypharmacy in older adults: current advances, clinical applications, and future perspectives.},
  author = {Chen J and Tao L},
  year = {2026},
  journal = {Frontiers in public health},
  doi = {10.3389/fpubh.2026.1921129},
  url = {https://doi.org/10.3389/fpubh.2026.1921129}
}

RIS

TY  - JOUR
TI  - Artificial intelligence-driven risk prediction of polypharmacy in older adults: current advances, clinical applications, and future perspectives.
AU  - Chen J
AU  - Tao L
PY  - 2026
JO  - Frontiers in public health
DO  - 10.3389/fpubh.2026.1921129
UR  - https://doi.org/10.3389/fpubh.2026.1921129
ER  -

APA

J, C., & L, T. (2026). Artificial intelligence-driven risk prediction of polypharmacy in older adults: current advances, clinical applications, and future perspectives.. Frontiers in public health. https://doi.org/10.3389/fpubh.2026.1921129

Source records

pubmed · retrieved 2026-09-25T06:07:19.515Z