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New AI model detects heart transplant rejection without biopsies (opens in a new tab)

news-medical.net · 2026-10-06

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The source study

Multi-modal AI: Integrating electrocardiography with molecular biomarkers for noninvasive detection of cardiac allograft rejection

JHLT Open · 2026
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Claim 1 of 6Not checkedBy analyzing heart rhythm recordings and blood tests, artificial intelligence may accurately flag when a transplant patient's body starts attacking a donated heart, a new study suggests.View evidenceHide evidence

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Claim 2 of 6Not checkedThe study explored whether combining electrocardiograms (EKGs) with blood tests could help identify heart transplant rejection without the need for an invasive biopsy in many cases.View evidenceHide evidence

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Claim 3 of 6Not checkedThe team trained AI models on 5,300 EKG readings from 2,357 adult heart transplant recipients, with biopsy records paired to EKG readings used to judge prediction accuracy.View evidenceHide evidence

As stated5,300 EKG readings; 2,357 adult heart transplant recipients

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Claim 4 of 6Not checkedIn an additional test group of 38 heart transplant recipients, the combined model correctly identified 94 percent of patients who were not experiencing rejection, and the blood-test-only model incorrectly flagged 19 patients as potentially needing a biopsy.View evidenceHide evidence

As stated94 percent; 38 patients; 19 false-positive biopsy flags

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Claim 5 of 6Not checkedThe article says the study was the first to combine these blood biomarkers with EKG readings in a single AI-enabled model and compare the analysis directly against biopsy results.View evidenceHide evidence

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Claim 6 of 6Not checkedThe researchers plan to test the model in more patients at several transplant centers.View evidenceHide evidence

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Multi-modal AI: Integrating electrocardiography with molecular biomarkers for noninvasive detection of cardiac allograft rejection

JHLT Open · 2026

Source record (opens in a new tab)

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Crossref, PubMed, Europe PMC · 15 candidate papers

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Multi-modal AI: Integrating electrocardiography with molecular biomarkers for noninvasive detection of cardiac allograft rejection

JHLT Open · 2026 · Crossref

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