Reference: Bensch, Hendrik (2021): Disruption, Globale Basis, KI in der Medizin. In: Transformation Leader, Ausgabe 3/2021, S. 65-69. PDF (https://transformationleader.de/es-fehlt-an-globalen-datensaetzen-um-zu-bestimmten-krankheiten-eine-ki-zu-trainieren/)
Left: Examples from HealthVer [1]; Right: Example of a claim that is supported and refuted by different evidence [2] With the rapid growth of biomedical research and the concurrent rise in misinformation, ensuring the accuracy Read more…
Example from n2c2 of relation extraction [1] This work explores the effectiveness of employing Clinical BERT for Relation Extraction (RE) tasks in medical texts within an Active Learning (AL) framework. Our main objective is to Read more…
Clinical Named Entity Recognition (NER) is essential for extracting important medical insights from clinical narratives. Given the challenges in obtaining expert training datasets for real-world clinical applications related to data protection regulations and the lack Read more…