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Wire · opportunities

AI tool detects hard-to-identify heart dysfunction from standard ECGs | Atrium Health Wake ...

8 August 2026 · By · Wire by Fusion42

Published

8 August 2026

Topic

opportunities

◆ Sectors

Healthtech Infrastructure

◆ Geography

United States

◆ Source

Read at newsroom.wakehealth.edu →

◆ Verified

Fusion42 · 29 August 2026 · Fusion42 review

Researchers at Wake Forest University developed an AI tool that detects multiple types of heart dysfunction from standard ECG data, including from a single lead similar to wearable devices, potentially enabling earlier and more accessible heart failure screening.

This Wire brief sits within Fusion42's coverage of Healthtech Infrastructure.

◆ ◆ The Wire takeaway

You can use simple ECG data, including from wearables, to find heart problems missed in routine care using AI. If you build health screening tools, this opens a path to earlier detection without costly imaging.

◆ Coverage

1 source · 8 Aug 2026

◆ Related on Wire

◆ Topics

Healthtech Infrastructureaiheart-failureecgwearableshealthtechscreening