Smart Healthcare at Home: A Review of AI-Enabled Wearables and Diagnostics Through the Lens of the Pi-CON Methodology.

Baumann S, Stone RT, Abdelall E

DOI: 10.3390/s25196067
Published: 2025 Oct 2
Container: Sensors (Basel, Switzerland)
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.3390/s25196067,
  title = {Smart Healthcare at Home: A Review of AI-Enabled Wearables and Diagnostics Through the Lens of the Pi-CON Methodology.},
  author = {Baumann S and Stone RT and Abdelall E},
  year = {2025},
  journal = {Sensors (Basel, Switzerland)},
  doi = {10.3390/s25196067},
  url = {https://doi.org/10.3390/s25196067}
}

RIS

TY  - JOUR
TI  - Smart Healthcare at Home: A Review of AI-Enabled Wearables and Diagnostics Through the Lens of the Pi-CON Methodology.
AU  - Baumann S
AU  - Stone RT
AU  - Abdelall E
PY  - 2025
JO  - Sensors (Basel, Switzerland)
DO  - 10.3390/s25196067
UR  - https://doi.org/10.3390/s25196067
ER  -

APA

S, B., RT, S., & E, A. (2025). Smart Healthcare at Home: A Review of AI-Enabled Wearables and Diagnostics Through the Lens of the Pi-CON Methodology.. Sensors (Basel, Switzerland). https://doi.org/10.3390/s25196067

Source records

pubmed · retrieved 2026-11-10T11:07:51.886Z