American Association of Clinical Endocrinology

08/13/2026

These findings underscore primary care as the most impactful setting for targeted interventions to improve thyroid monitoring and optimize disease control. Read more: https://www.endocrinologydiabetes.org/article/S3050-9157(26)00080-9/fulltext

08/13/2026

In a new evaluation of AI tools, researchers found that general-purpose LLMs performed as well as or better than commercial clinical AI platforms across standardized benchmarks and blinded clinician review of real-world physician queries.

The authors described the results as a snapshot of a rapidly evolving landscape and called for independent evaluation before clinical implementation. Read more: https://aaceendocrine.ai/articles/2026/06/general-purpose-llms-outperform-commercial-medical-ai-tools/

News Research Research and Evidence General-purpose LLMs outperform commercial medical AI tools Results represent “a snapshot of a rapidly evolving landscape." June 25, 2026 By Matthew Solan 4 min read Share Share via Email Share on Facebook Share on LinkedIn Share on Twitter As artificial intelli...

08/12/2026

Digital twin technology is emerging as a potential tool for precision endocrinology, with some of the most developed applications currently being studied in diabetes care.

In a new AACE Endocrine AI article, David Ahn, MD, discusses how AI-enabled digital twins use patient-specific data, physiologic modeling, and machine learning to create computational models that may help simulate disease progression, predict treatment responses, and support more individualized clinical decision-making.

The article reviews emerging evidence in diabetes management and explores how similar approaches are being investigated in other areas of endocrinology. It also outlines key considerations for clinicians, including data quality, model validation, privacy, security, and clinical oversight.

Understanding how these tools are built, validated, and applied may help endocrinologists evaluate emerging evidence and integrate AI-enhanced recommendations safely into patient care, noted Dr. Ahn.

Read more: https://bit.ly/44PvKPj

Research Technology Research and Evidence Precision Endocrinology Glucose Monitoring & Insulin Delivery Digital twins emerging as next frontier in precision endocrinology "Understanding digital twin technology can help endocrinologists optimize treatment decisions and improve patient outcomes.” Ju...

08/11/2026

Clinical endocrinology is evolving. Your learning should too. AACE Self-Assessment Program (ASAP) is being reimagined, not only as a board review tool, but as a next-generation learning portfolio designed for lifelong clinical excellence. ASAP Microlearning Volume 1 is complimentary for Engaged AACE Community members. Join now to receive discounts on all of our educational opportunities.

AACE Self-Assessment Program (ASAP) Microlearning Volume 1 is designed for practicing clinical endocrinologists. This case-based microlearning course delivers high-yield clinical insights across the full spectrum of endocrine care. The program features six focused modules, each built around real-wor...

08/11/2026

Romosozumab may be a promising therapeutic option for improving bone mineral density (BMD) in patients with PHPT who have persistently low BMD after parathyroidectomy. Read more: https://www.endocrinologydiabetes.org/article/S3050-9157(26)00083-4/fulltext

08/10/2026

Osteoporosis and osteopenia are chronic conditions that significantly increase the risk of fractures both in the United States and globally. This interactive program equips health care professionals with current and emerging treatment options to improve patient outcomes in bone health. Learn more: https://pro.aace.com/certificates

08/10/2026

Although no therapies are currently approved for treatment, emerging evidence suggests teprotumumab may be effective, supported by shared underlying pathophysiology with thyroid eye disease. Read more: https://www.endocrinologydiabetes.org/article/S3050-9157(26)00074-3/fulltext

08/07/2026

With obesity affecting an estimated 90 million people in the United States, GLP-1 receptor agonists have emerged as highly effective pharmacologic interventions for obesity and related cardiometabolic comorbidities. These and other obesity pharmacotherapies become increasingly prescribed, clinicians need practical, evidence-based tools to guide nutritional counseling. Dietary quality becomes especially critical when caloric intake is reduced — nutritional needs must still be fully met. Read more and download our quick-reference clinician guide: https://pro.aace.com/nutritional-considerations-for-patients-on-obesity-medications

08/07/2026

Although use of SGLT2 inhibitors and GLP-1 receptor agonists increased substantially from 2014 to 2024, Black patients, publicly insured patients, and those living in more socially vulnerable neighborhoods remained less likely to receive these guideline-recommended therapies. Read more: https://www.endocrinologydiabetes.org/article/S3050-9157(26)00072-X/fulltext

08/07/2026

In an AACE Endocrine AI video, Johnson Thomas, MD, FACE, FEAA, demonstrates how clinicians can use AI tools to build an osteoporosis-focused clinical infographic on screening, treatment, and monitoring.

Dr. Thomas walks through a practical example using a detailed prompt and compares outputs from ChatGPT, Claude, and Gemini, showing how AI-generated materials can vary in style, level of detail, and usefulness for clinical education.

Key takeaways include writing specific prompts, providing a visual template when possible, and verifying all clinical information against current guidelines before sharing.

Watch now:

News Technology Predictive Risk Models Ethics, Regulation, and Responsible Use Diagnostics & Imaging How to build infographics with AI June 10, 2026 By AACE Endocrine AI staff 1 min watch Share Share via Email Share on Facebook Share on LinkedIn Share on Twitter Please enable JavaScript or upgrade t...