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ORAL CONTRIBUTED SESSION 14: Artificial Intelligence and Machine Learning

Tracks
PARALLEL HALL 2 (Maurice Saltiel III Hall)
Tuesday, July 23, 2024
9:00 AM - 10:32 AM
PARALLEL HALL 2 (Maurice Saltiel III Hall)

Presentations

Dr. Mark Clements
Associate Professor
Karolinska Institutet, Stockholm, Sweden

OC14-1 | Continuous time Markov multistate models for health economics, with an application to artificial intelligence assisted pathology

9:00 AM - 9:18 AM
Ms. Konstantina Thaleia Pilali
PhD Student
University of Padua, Italy

OC14-2 | UBEP Ethical Assessment Tool in clinical studies

9:18 AM - 9:36 AM
Ms. Manel Rakez
Phd Candidate
Bordeaux Population Health Center, France

OC14-3 | Enhancing breast cancer prediction with statistical and deep learning approaches for longitudinal imaging data

9:36 AM - 9:54 AM
Mr. Mehran Moazeni
Utrecht University, Netherlands

OC14-4 | Real-time detection of Atrial fibrillation using meta-learning in the Amsterdam UMC Database

9:54 AM - 10:12 AM
Mr. Fabian Kabus
Universitätsklinikum Freiburg

OC14-5 | An end-to-end modelling approach for capturing spatiotemporal patterns in two-photon imaging data

10:12 AM - 10:30 AM

Chair

Claus Ekstrom
Professor
University of Copenhagen, Denmark

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