Lucija Gosak

According to our database, Lucija Gosak authored at least 10 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Chapter 7 Review of Data-Driven Generative AI Models for Knowledge Extraction from Scientific Literature in Healthcare.

Leon Kopitar, Primoz Kocbek, Lucija Gosak, Gregor Stiglic

CoRR, 2024

Petal-X: Human-Centered Visual Explanations to Improve Cardiovascular Risk Communication.

Diego Rojo, Houda Lamqaddam, Lucija Gosak, Katrien Verbert

CoRR, 2024

EXMOS: Explanatory Model Steering through Multifaceted Explanations and Data Configurations.

Aditya Bhattacharya, Simone Stumpf, Lucija Gosak, Gregor Stiglic, Katrien Verbert

Proceedings of the CHI Conference on Human Factors in Computing Systems, 2024

2023

Review of artificial intelligence-based question-answering systems in healthcare.

Leona Cilar Budler, Lucija Gosak, Gregor Stiglic

WIREs Data. Mining. Knowl. Discov., 2023

Lessons Learned from EXMOS User Studies: A Technical Report Summarizing Key Takeaways from User Studies Conducted to Evaluate The EXMOS Platform.

Aditya Bhattacharya, Simone Stumpf, Lucija Gosak, Gregor Stiglic, Katrien Verbert

CoRR, 2023

Improving Primary Healthcare Workflow Using Extreme Summarization of Scientific Literature Based on Generative AI.

Gregor Stiglic, Leon Kopitar, Lucija Gosak, Primoz Kocbek, Zhe He, Prithwish Chakraborty, Pablo Meyer, Jiang Bian

CoRR, 2023

2022

Relevance of automated generated short summaries of scientific abstract: use case scenario in healthcare.

Gregor Stiglic, Kasandra Musovic, Lucija Gosak, Nino Fijacko, Primoz Kocbek

Proceedings of the 10th IEEE International Conference on Healthcare Informatics, 2022

Generating Extremely Short Summaries from the Scientific Literature to Support Decisions in Primary Healthcare: A Human Evaluation Study.

Primoz Kocbek, Lucija Gosak, Kasandra Musovic, Gregor Stiglic

Proceedings of the Artificial Intelligence in Medicine, 2022

2021

A Review of Mortality Risk Prediction Models in Smartphone Applications.

Nino Fijacko, Ruth Masterson Creber, Lucija Gosak, Primoz Kocbek, Leona Cilar, Peter Creber, Gregor Stiglic

J. Medical Syst., 2021

2020

Evaluation of Mobile Phone Mortality Risk Score Applications Using Data from the Electronic Medical Records.

Nino Fijacko, Lucija Gosak, Primoz Kocbek, Leona Cilar, Andrej Markota, Gregor Stiglic

Proceedings of the Digital Personalized Health and Medicine - Proceedings of MIE 2020, Medical Informatics Europe, Geneva, Switzerland, April 28, 2020