Ontology-guided machine learning outperforms zero-shot foundation models for cardiac ultrasound text reports

Abstract Big data can revolutionize research and quality improvement for cardiac ultrasound. Text reports are a critical part of such analyses. Cardiac ultrasound reports include structured and free text and vary across institutions, hampering attempts to mine text for useful insights. Natural langu...

وصف كامل

التفاصيل البيبلوغرافية

المؤلفون الرئيسيون:	Suganya Subramaniam, Sara Rizvi, Ramya Ramesh, Vibhor Sehgal, Brinda Gurusamy, Hikmatullah Arif, Jeffrey Tran, Ritu Thamman, Emeka C Anyanwu, Ronald Mastouri, G. Burkhard Mackensen, Rima Arnaout
التنسيق:	Artigo
اللغة:	Inglês
منشور في:	Nature Portfolio 2025-02-01
سلاسل:	Scientific Reports
الموضوعات:	Natural language processing Machine learning Large language models Echocardiography report Ontology
الوصول للمادة أونلاين:	https://doi.org/10.1038/s41598-024-83540-y
الوسوم:	إضافة وسم لا توجد وسوم, كن أول من يضع وسما على هذه التسجيلة!