Machine learning for cardio-oncology: predicting global longitudinal strain from conventional echocardiographic measurements in cancer patients
Abstract Introduction Global longitudinal strain (GLS) is an important prognostic indicator for predicting heart failure and cancer therapy-related cardiac dysfunction (CTRCD). Although access to GLS measurement has increased across institutions, its actual use in clinical practice remains limited d...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
BMC
2025-05-01
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| Series: | Cardio-Oncology |
| Subjects: | |
| Online Access: | https://doi.org/10.1186/s40959-025-00348-z |
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