Artificial intelligence in clinical physiology: System-wise applications in diagnostics, monitoring, and medical education.
- DOI
- 10.4103/jfmpc.jfmpc_1586_25
- Published
- 2026 Mar
- Container
- Journal of family medicine and primary care
- Publisher
- Not recorded
- Open access
- yes
Credibility signals
limited evidence Score 45/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.
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Cite this work
BibTeX
@article{allodium:10.4103/jfmpc.jfmpc_1586_25,
title = {Artificial intelligence in clinical physiology: System-wise applications in diagnostics, monitoring, and medical education.},
author = {Chhabra C and Saroha R and Kosvi M and Singh S and Gautam VS and Kumari P},
year = {2026},
journal = {Journal of family medicine and primary care},
doi = {10.4103/jfmpc.jfmpc_1586_25},
url = {https://doi.org/10.4103/jfmpc.jfmpc_1586_25}
}RIS
TY - JOUR TI - Artificial intelligence in clinical physiology: System-wise applications in diagnostics, monitoring, and medical education. AU - Chhabra C AU - Saroha R AU - Kosvi M AU - Singh S AU - Gautam VS AU - Kumari P PY - 2026 JO - Journal of family medicine and primary care DO - 10.4103/jfmpc.jfmpc_1586_25 UR - https://doi.org/10.4103/jfmpc.jfmpc_1586_25 ER -
APA
C, C., R, S., M, K., S, S., VS, G., & P, K. (2026). Artificial intelligence in clinical physiology: System-wise applications in diagnostics, monitoring, and medical education.. Journal of family medicine and primary care. https://doi.org/10.4103/jfmpc.jfmpc_1586_25
Source records
- pubmed · retrieved 2026-09-26T02:16:33.820Z