Artificial intelligence-based classification of cardiac autonomic neuropathy from retinal fundus images in patients with diabetes: The Silesia Diabetes Heart Study

MLA

Katarzyna Nabrdalik, et al. “Artificial Intelligence-Based Classification of Cardiac Autonomic Neuropathy from Retinal Fundus Images in Patients with Diabetes: The Silesia Diabetes Heart Study.” Cardiovascular Diabetology, vol. 23, no. 1, Aug. 2024, pp. 1–10. EBSCOhost, https://doi.org/10.1186/s12933-024-02367-z.

APA

Katarzyna Nabrdalik, Krzysztof Irlik, Yanda Meng, Hanna Kwiendacz, Julia Piaśnik, Mirela Hendel, Paweł Ignacy, Justyna Kulpa, Kamil Kegler, Mikołaj Herba, Sylwia Boczek, Effendy Bin Hashim, Zhuangzhi Gao, Janusz Gumprecht, Yalin Zheng, Gregory Y. H. Lip, & Uazman Alam. (2024). Artificial intelligence-based classification of cardiac autonomic neuropathy from retinal fundus images in patients with diabetes: The Silesia Diabetes Heart Study. Cardiovascular Diabetology, 23(1), 1–10. https://doi.org/10.1186/s12933-024-02367-z

Chicago

Katarzyna Nabrdalik, Krzysztof Irlik, Yanda Meng, Hanna Kwiendacz, Julia Piaśnik, Mirela Hendel, Paweł Ignacy, et al. 2024. “Artificial Intelligence-Based Classification of Cardiac Autonomic Neuropathy from Retinal Fundus Images in Patients with Diabetes: The Silesia Diabetes Heart Study.” Cardiovascular Diabetology 23 (1): 1–10. doi:10.1186/s12933-024-02367-z.