NCBI PubMed Central
open access
Hepatic and abdominal adiposity in type 2 diabetes as assessed with machine learning on computed tomography scans.
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
Checking your browser before accessing pmc.ncbi.nlm.nih.gov ... Click here if you are not automatically redirected after 5 seconds.
Related documents
- Study of Human Regular U-500 Insulin in Adult Participants With Type 2 Diabetes#154829
- The liver in diabetes: current state and future perspectives#1148612
- Machine learning for predicting emergency department visits in patients with type 2 diabetes: A real-world, multi-institutional study.#358496
- Machine learning for predicting emergency department visits in patients with type 2 diabetes: A real-world, multi-institutional study#355236
- Comorbid type 2 diabetes and chronic gastroduodenitis synergistically increase adverse clinical outcomes: implications for MRI-derived phenotype-tailored dietary strategies#332437
Record · ID 9094 · SHA-256 68b0e74d75789130
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive