Using AI to identify depression and anxiety in patients with heart disease or diabetes
Official title: Leveraging Large Language Models and Machine Learning Algorithms to Assess Depression and Anxiety Symptoms and Risks for Patients with Cardiovascular Disease or Diabetes Mellitus
Funded at Stanford University · NIH-10949395 · Data updated 2026-11-12
This study is looking at how smart computer programs can help find signs of depression and anxiety in people with heart disease or diabetes by analyzing their messages to their doctors, so we can better understand and support their mental health needs.
Quick facts
| Grant type | Career grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Stanford University NIH-funded |
| Lab location | 1 site (Stanford, United States) |
| Project start | August 1, 2024 |
| Project end | July 31, 2028 |
| Funding year | 2024 |
| Award (this year) | $135,268 |
| NIH project number | 1K01MH137386-01 |
| Project ID | NIH-10949395 on NIH RePORTER |
Who could benefit from this research
✓Could help
Ideal candidates for this research are individuals diagnosed with cardiovascular disease or diabetes who may also be experiencing symptoms of depression or anxiety.
✕Less likely to help
Patients without cardiovascular disease or diabetes, or those who do not exhibit symptoms of depression or anxiety, may not benefit from this research.
What this research studies
This research investigates how advanced AI algorithms can analyze patient messages to identify symptoms of depression and anxiety in individuals with cardiovascular disease or diabetes. By examining over 46 million messages from a patient portal, the study aims to uncover the hidden mental health needs of these patients, which are often overlooked during routine medical visits. The approach combines large language models and machine learning to enhance understanding and prediction of mental health risks in this population. Ultimately, the goal is to improve diagnosis and treatment pathways for co-morbid conditions.
Why it matters
Potential benefit: If successful, this research could lead to better identification and management of depression and anxiety in patients with cardiovascular disease or diabetes, improving their overall health outcomes.
How similar studies have gone: Other research has shown promise in using AI and machine learning to address mental health issues, indicating that this approach could be effective in this context as well.
Where this research is happening
-
Stanford University
Stanford, United States Active
Researchers
- Principal investigator: Kim, Jiyeong — Stanford University
- Study coordinator: Kim, Jiyeong
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About this research
- This is an active NIH-funded research project — typically early-stage science, not a clinical trial accepting patient enrollment.
- Some NIH-funded labs run parallel clinical studies or seek volunteers for related work. To check, contact the principal investigator or institution listed above.
- For full project details, budget, and progress reports, visit the official NIH RePORTER page.