38 citations · 42 across the 4 of their papers we have counts for
4 papers
Chapter 7 Review of Data-Driven Generative AI Models for Knowledge Extraction from Scientific Literature in Healthcare
Leon Kopitar, Primoz Kocbek, Lucija Gosak +1
This review examines the development of abstractive NLP-based text summarization approaches and compares them to existing techniques for extractive summarization. A brief history o…
Petal-X: Human-Centered Visual Explanations to Improve Cardiovascular Risk Communication
Diego Rojo, Houda Lamqaddam, Lucija Gosak +1
Cardiovascular diseases (CVDs), the leading cause of death worldwide, can be prevented in most cases through behavioral interventions. Therefore, effective communication of CVD ris…
EXMOS: Explanatory Model Steering Through Multifaceted Explanations and Data Configurations
Aditya Bhattacharya, Simone Stumpf, Lucija Gosak +2
Explanations in interactive machine-learning systems facilitate debugging and improving prediction models. However, the effectiveness of various global model-centric and data-centr…
Improving Primary Healthcare Workflow Using Extreme Summarization of Scientific Literature Based on Generative AI
Gregor Stiglic, Leon Kopitar, Lucija Gosak +5
Primary care professionals struggle to keep up to date with the latest scientific literature critical in guiding evidence-based practice related to their daily work. To help solve…