Kuhlen, M.; Hellmann, F.; Pfaehler, E.; André, E.; Redlich, A.
Artificial Intelligence and Machine Learning in Pediatric Endocrine Tumors: Opportunities, Pitfalls, and a Roadmap for Trustworthy Clinical Translation. Biomedicines 2026, 14, 146.
https://doi.org/10.3390/biomedicines14010146
AMA Style
Kuhlen M, Hellmann F, Pfaehler E, André E, Redlich A.
Artificial Intelligence and Machine Learning in Pediatric Endocrine Tumors: Opportunities, Pitfalls, and a Roadmap for Trustworthy Clinical Translation. Biomedicines. 2026; 14(1):146.
https://doi.org/10.3390/biomedicines14010146
Chicago/Turabian Style
Kuhlen, Michaela, Fabio Hellmann, Elisabeth Pfaehler, Elisabeth André, and Antje Redlich.
2026. "Artificial Intelligence and Machine Learning in Pediatric Endocrine Tumors: Opportunities, Pitfalls, and a Roadmap for Trustworthy Clinical Translation" Biomedicines 14, no. 1: 146.
https://doi.org/10.3390/biomedicines14010146
APA Style
Kuhlen, M., Hellmann, F., Pfaehler, E., André, E., & Redlich, A.
(2026). Artificial Intelligence and Machine Learning in Pediatric Endocrine Tumors: Opportunities, Pitfalls, and a Roadmap for Trustworthy Clinical Translation. Biomedicines, 14(1), 146.
https://doi.org/10.3390/biomedicines14010146