S1.11 - Artificial Intelligence in Medicine 3
Tracks
Auditorium
| Monday, August 26, 2024 |
| 2:00 PM - 3:30 PM |
| Auditorium |
Speaker
Ms. Nattawipa Thawinwisan
Student
Graduate School Of Medicine, Kyoto University
Comparing Patient Perception and Physician’s Records: Generative AI Performance Evaluation (Nattawipa Thawinwisan, Chang Liu, Kazumasa Kishimoto, Goshiro Yamamoto, Yukiko Mori, Tomohiro Kuroda)
Dr. Luca Marzano
Phd
KTH Royal Institute Of Technology
Exploring hospital overcrowding with an explainable time-to-event machine learning approach (Luca Marzano, Tobias Haraldsson, Harsha Krishna, Sven Lethval, Nina Falk, Patrik Bodeby, Jayanth Raghothama, Sebastiaan Meijer, Adam S. Darwich)
Dr. Sulayman K. Sowe
Dbis.Rwth-Aachen
Improving the Quality of Unstructured Cancer Data using Large Language Models: A German Oncological Case Study (Yongli Mou, Jonathan Lehmkuhl, Nicolas Sauerbrunn, Anja Köchel, Jens Panse, Daniel Truhl, Sulayman Sowe, Tim Brümmendorf, Stefan Decker)
Ms. Louisa Schwarz
Johannes Gutenberg-Universität Mainz
On Entity Embeddings for Ordinal Features as Representation Learning in Recurrence Prediction of Urothelial Bladder Cancer (Louisa Schwarz, Franz Rothlauf)
Ms. Amila Kugic
Term Candidate Generation to Enrich Clinical Terminologies with Large Language Models (Amila Kugic, Stefan Schulz, Markus Kreuzthaler)
Dr. Kevin Tsang
Lecturer
UCL
Enhancing Asthma Self-Management with Environmental Passive-Monitoring Data and Machine Learning-Based Predictions
Chair
John Mantas
Chair
National and Kapodistrian University of Athens
