Artificial intelligence has already revolutionized various fields in medicine and research. Due to the complex and interconnected nature of the endocrine system, it is an ideal area to further exploit and maximize the potential benefits of artificial intelligence.
This is a preview of subscription content, access via your institution
Access Nature and 54 other Nature Portfolio journals
Get Nature+, our best-value online-access subscription
$29.99 / 30 days
cancel any time
Subscribe to this journal
Receive 12 print issues and online access
$189.00 per year
only $15.75 per issue
Rent or buy this article
Get just this article for as long as you need it
Prices may be subject to local taxes which are calculated during checkout
Gardiner, L. J. et al. Interpreting machine learning models to investigate circadian regulation and facilitate exploration of clock function. Proc. Natl Acad. Sci. USA 118, e2103070118 (2021).
Nimri, R. et al. Insulin dose optimization using an automated artificial intelligence-based decision support system in youths with type 1 diabetes. Nat. Med. 26, 1380–1384 (2020).
Liu, H. et al. Computed tomography-based machine learning differentiates adrenal pheochromocytoma from lipid-poor adenoma. Front. Endocrinol. (Lausanne) 13, 833413 (2022).
Wang, Z. et al. Deep learning-based multifeature integration robustly predicts central lymph node metastasis in papillary thyroid cancer. BMC Cancer 23, 128 (2023).
Turai, P. I. et al. Tissue miRNA combinations for the differential diagnosis of adrenocortical carcinoma and adenoma established by artificial intelligence. Cancers 14, 895 (2022).
Shi, X. et al. Cancer stemness associated with prognosis and the efficacy of immunotherapy in adrenocortical carcinoma. Front. Oncol. 11, 651622 (2021).
Hathaway, Q. A. et al. Machine-learning to stratify diabetic patients using novel cardiac biomarkers and integrative genomics. Cardiovasc. Diabetol. 18, 78 (2019).
Vasey, B. et al. Reporting guideline for the early-stage clinical evaluation of decision support systems driven by artificial intelligence: DECIDE-AI. Nat. Med. 28, 924–933 (2022).
Dimai, H. P. New horizons: artificial intelligence tools for managing osteoporosis. J. Clin. Endocrinol. Metab. 108, 775–783 (2023).
Naser, J. A. et al. Artificial intelligence-augmented electrocardiogram in determining sex: correlation with sex hormone levels. Mayo Clin. Proc. 98, 541–548 (2023).
The authors acknowledge the support of the German Federal Ministry of Education (Clusters4Future SaxoCell, 03ZU1111DA) and the German Research Foundation (DFG, project no. 314061271 and project no. 288034826).
The authors declare no competing interests.
Rights and permissions
About this article
Cite this article
Oikonomakos, I.T., Steenblock, C. & Bornstein, S.R. Artificial intelligence in diabetes mellitus and endocrine diseases — what can we expect?. Nat Rev Endocrinol (2023). https://doi.org/10.1038/s41574-023-00852-1