News|Articles|February 27, 2026

AI-Assisted Cardiac Screening Expands in Rural Mississippi

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Key Takeaways

  • Wayne General is integrating Eko SENSORA digital auscultation and ECG analytics at the point of care to increase sensitivity for structural heart disease and arrhythmias during routine exams.
  • Rural cardiovascular disparities and limited specialist access are motivating AI decision-support adoption to help determine which patients warrant expedited cardiology evaluation.
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A Mississippi hospital partners with Eko Health to introduce AI-assisted cardiac detection in underserved rural communities.

Wayne General Hospital in Waynesboro, Mississippi, has partnered with Eko Health to implement artificial intelligence (AI)–assisted cardiac screening technology, an initiative designed to improve early detection of heart disease in a rural setting.1 The collaboration equips clinicians with Eko’s digital stethoscopes and electrocardiogram (ECG) platform, which use AI algorithms to help identify structural heart abnormalities and arrhythmias during routine examinations.

"As the only hospital serving Wayne County, we take our role in supporting the community seriously," said Andrew Porter, CEO of Wayne General Hospital, in a statement. "Deploying SENSORA allows our teams to act with greater confidence during both emergency and routine visits. Identifying cardiac risk earlier helps us make faster, more informed decisions for our patients while keeping care close to home. It's a practical innovation that supports our focus on providing the high-quality care our community relies on every day."

Rural communities face disproportionately high rates of cardiovascular disease alongside limited access to specialty care. By integrating AI-guided detection tools at the point of care, the hospital aims to support frontline providers in recognizing potential cardiac abnormalities earlier and determining when referral to cardiology services is warranted.

This deployment reflects a broader trend toward using digital health tools to strengthen rural care capacity.2 Workforce shortages remain a major concern, with many rural hospitals struggling to recruit and retain specialists. Technology-enabled solutions—including telehealth, remote monitoring, and AI decision support—can extend clinician capabilities and improve diagnostic confidence.

Eko’s technology analyzes heart sounds and electrical activity in real time, flagging patterns associated with conditions such as heart murmurs, atrial fibrillation, and valvular disease.1 The system is designed to augment, not replace, clinical judgment by providing decision support during routine visits. AI-assisted auscultation may help clinicians detect subtle abnormalities that can be difficult to distinguish using traditional acoustic stethoscopes alone.

Hospital leadership emphasized that the deployment aligns with broader efforts to improve preventive care and reduce avoidable hospitalizations. Earlier detection can enable timely treatment, reduce complications, and lower long-term costs associated with advanced cardiovascular disease. In rural health systems operating under tight resource constraints, tools that improve diagnostic accuracy and efficiency may offer significant value.

The initiative also reflects a growing trend toward integrating digital health and AI technologies into community-based care settings. While advanced cardiac diagnostics are often concentrated in urban medical centers, AI-enabled tools can extend screening capabilities to primary care clinics and small hospitals. This approach may help narrow geographic disparities in cardiovascular outcomes.

Wayne General Hospital plans to incorporate the technology into routine patient evaluations and track its impact on referral patterns, diagnosis rates, and patient outcomes. If successful, the program could serve as a model for other rural hospitals seeking scalable solutions to improve early cardiac detection and population health management.

"Wayne General is demonstrating how advanced cardiac screening can be integrated into frontline care in a way that is practical and scalable," said Jason Bellet, cofounder and chief business officer at Eko Health, in a statement. "With Eko SENSORA, clinicians can identify potential cardiac disease earlier without adding complexity to already busy clinical environments. This type of deployment shows how earlier detection can be expanded across community-based health systems without changing how care teams already work."

References

1. Wayne General Hospital partners with Eko Health to deploy AI-assisted cardiac detection in rural Mississippi. Eko Health. News release. February 26, 2026. Accessed February 26, 2026. https://www.prnewswire.com/news-releases/wayne-general-hospital-partners-with-eko-health-to-deploy-ai-assisted-cardiac-detection-in-rural-mississippi-302698326.html

2. Steinzor P. Workforce technology eases staffing shortages in rural health care. AJMC®. June 17, 2025. Accessed February 26, 2026. https://www.ajmc.com/view/workforce-technology-eases-staffing-shortages-in-rural-health-care