Mills Peninsula Health Services

Large language models for diabetes care: Potentials and prospects

Bin Sheng, Zhouyu Guan, Lee‐Ling Lim et al.

2024 · 57 Zit.

The Scientific Knowledge of Bard and ChatGPT in Endocrinology, Diabetes, and Diabetes Technology: Multiple-Choice Questions Examination-Based Performance

Sultan Ayoub Meo, Thamir Al-khlaiwi, Abdulelah Adnan Abukhalaf et al.

2023 · 41 Zit.

Qualitative metrics from the biomedical literature for evaluating large language models in clinical decision-making: a narrative review

Cindy Ho, Tiffany Tian, Alessandra T. Ayers et al.

2024 · 24 Zit.

Using ChatGPT to Predict the Future of Diabetes Technology

Jingtong Huang, Andrea M. Yeung, David Kerr et al.

2023 · 21 Zit.

Large language models for diabetes training: a prospective study

Haoxuan Li, Zehua Jiang, Zhouyu Guan et al.

2025 · 16 Zit.

Large language models and global health equity: a roadmap for equitable adoption in LMICs

Haichao Chen, Dian Zeng, Yiming Qin et al.

2025 · 5 Zit.

Artificial intelligence for interpreting diabetes data using clinician-curated benchmarks

David C Klonoff, Elizabeth Healey, Kenneth D Mandl et al.

2026 · 0 Zit.

Integrating trust into artificial intelligence for medicine: using diabetes as the exemplar disease

Mandy M. Shao, Agatha F. Scheideman, David Kerr et al.

2026 · 0 Zit.

PRIMARY-AI: outcomes-based standards to safeguard primary care in the AI era

Dian Zeng, Lorainne Tudor Car, Kamlesh Khunti et al.

2026 · 0 Zit.

Reasoning-driven large language models in medicine: opportunities, challenges, and the road ahead

Xiaofei Wang, Zhuxin Xiong, Ke Zou et al.

2026 · 0 Zit.