Doctors are discovering that people with asthma and COPD face a much higher risk of heart disease than previously recognized, and artificial intelligence is emerging as a powerful tool to catch these hidden cardiovascular problems before they become life-threatening. Between 20% and 60% of COPD patients have undiagnosed heart disease, depending on the population studied, yet current detection methods often miss these dangerous overlaps . A new scoping review examining how AI and machine learning can help manage this dangerous combination found that while AI tools show tremendous promise for COPD patients, asthma patients are being left behind in this emerging technology.

Why Do Asthma and COPD Patients Get Heart Disease?

The connection between lung disease and heart disease isn't random. Both asthma and COPD trigger chronic inflammation throughout the body, which damages blood vessels and increases the risk of heart attacks and strokes. In asthma, uncontrolled eosinophilic asthma (a type driven by specific immune cells) is now recognized as an established cardiovascular risk factor, linked to both heart attacks and coronary vasospasm, a dangerous tightening of heart arteries . The shared inflammatory pathways involve elevated levels of several harmful markers:

• IL-6: An inflammatory protein that damages blood vessel linings and promotes plaque buildup in arteries
• Tumor necrosis factor-alpha (TNF-alpha): A signaling molecule that triggers widespread inflammation throughout the cardiovascular system
• C-reactive protein (CRP): A marker of systemic inflammation that predicts future heart attacks and strokes

COPD patients face even steeper odds. People with COPD have a 25% higher risk of major adverse cardiovascular events compared with those without COPD . The relationship works both ways, too: patients with established heart disease are more likely to develop COPD over time, creating a vicious cycle of declining health.

How Is Artificial Intelligence Helping Doctors Detect Hidden Heart Disease?

Researchers are using AI and machine learning to analyze patient data in ways that traditional statistical methods cannot match. These systems can process electronic health records, imaging data, and lab results simultaneously to identify patients at highest risk. Among 11 major studies reviewed, AI-derived risk models frequently provided superior discrimination and calibration compared with traditional statistical approaches . One particularly promising discovery involved unsupervised machine learning, which identified specific COPD-dominant heart failure phenotypes with particularly poor outcomes, helping doctors target interventions to the sickest patients.

The AI systems excel at finding patterns that humans might miss. They can integrate multimodal data, meaning they combine information from multiple sources like imaging, blood tests, and patient history to create a complete picture of cardiovascular risk. This is especially valuable because both COPD and heart disease remain substantially underdiagnosed, prompting the development of these predictive models and biomarker-based strategies to improve early detection .

Steps to Protect Your Heart If You Have Asthma or COPD

• Get Your Heart Screened: If you have asthma or COPD, ask your doctor about cardiovascular screening, especially if you have risk factors like smoking history, high blood pressure, or family history of heart disease
• Monitor Inflammation Markers: Request blood tests that measure inflammatory markers like C-reactive protein and IL-6, which indicate both lung and heart disease risk
• Understand Your Asthma Type: If you have asthma, work with your doctor to determine if you have eosinophilic asthma, which carries specific cardiovascular risks that require targeted management
• Optimize Lung Disease Control: Keeping your asthma or COPD well-controlled reduces systemic inflammation and lowers your heart disease risk

Why Is Asthma Being Overlooked in This Critical Research?

Here's where the story takes a troubling turn. Among the 11 studies reviewed, only one specifically addressed asthma and cardiovascular disease, while the remaining 10 focused on COPD . That single asthma study developed machine learning-based cardiovascular risk prediction models from electronic health records that achieved good short-term discrimination but lacked external validation, meaning the results haven't been tested in other patient populations to confirm they work reliably. This represents a massive knowledge gap in a disease affecting 6.6% of the global adult population.

The disparity is striking because asthma carries real cardiovascular risks. Current evidence demonstrates an increased risk of coronary artery disease, heart attacks, and high blood pressure in individuals with asthma . Yet asthma patients aren't receiving the same level of AI-powered screening and risk stratification that COPD patients are beginning to access. This gap could leave millions of asthma patients unaware of their hidden heart disease risk.

What's Holding Back Clinical Implementation?

Even for COPD, where AI research is more advanced, most studies remain retrospective, largely reliant on structured data, limited in generalizability, and rarely implemented in routine care . This means that while researchers have developed powerful AI tools in laboratory settings, these tools aren't yet integrated into the electronic health record systems that doctors use every day. Patients aren't benefiting from these advances because the technology hasn't made the leap from research to real-world clinical practice.

The path forward requires large-scale, prospectively evaluated, and clinically integrated AI and machine learning strategies to improve detection, risk stratification, and personalized management of cardiovascular disease in patients with asthma or COPD . This means researchers need to test these AI systems in real-world settings with diverse patient populations, then embed them directly into hospital and clinic computer systems where doctors can actually use them.

If you have asthma or COPD, the takeaway is clear: your lungs and heart are connected, and that connection matters for your long-term health. While AI technology offers exciting new possibilities for catching hidden heart disease early, you shouldn't wait for these tools to become standard. Talk to your doctor about your cardiovascular risk, get screened if you have risk factors, and work together to keep both your lungs and heart as healthy as possible.