Artificial Intelligence and Machine Learning in Pediatric Endocrine Tumors: Opportunities, Pitfalls, and a Roadmap for Trustworthy Clinical Translation.
- DOI
- 10.3390/biomedicines14010146
- Published
- 2026 Jan 11
- Container
- Biomedicines
- Publisher
- Not recorded
- Open access
- yes
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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:10.3390/biomedicines14010146,
title = {Artificial Intelligence and Machine Learning in Pediatric Endocrine Tumors: Opportunities, Pitfalls, and a Roadmap for Trustworthy Clinical Translation.},
author = {Kuhlen M and Hellmann F and Pfaehler E and André E and Redlich A},
year = {2026},
journal = {Biomedicines},
doi = {10.3390/biomedicines14010146},
url = {https://doi.org/10.3390/biomedicines14010146}
}RIS
TY - JOUR TI - Artificial Intelligence and Machine Learning in Pediatric Endocrine Tumors: Opportunities, Pitfalls, and a Roadmap for Trustworthy Clinical Translation. AU - Kuhlen M AU - Hellmann F AU - Pfaehler E AU - André E AU - Redlich A PY - 2026 JO - Biomedicines DO - 10.3390/biomedicines14010146 UR - https://doi.org/10.3390/biomedicines14010146 ER -
APA
M, K., F, H., E, P., E, A., & A, R. (2026). Artificial Intelligence and Machine Learning in Pediatric Endocrine Tumors: Opportunities, Pitfalls, and a Roadmap for Trustworthy Clinical Translation.. Biomedicines. https://doi.org/10.3390/biomedicines14010146
Source records
- pubmed · retrieved 2026-09-26T05:34:12.247Z