Alexander Löser — accepted AI-conference papers

2026

Sparse ProtoPatient: Interactive Multi-Prototype Explanations for Clinical Diagnosis Prediction

Conor Fallon, Bogdan Kostić, Betty Van Aken, Jens-Michalis Papaioannou, Alexei Figueroa, Keno Bressem +1

IJCAI 2026

We present the Sparse ProtoPatient Demo, a publicly available interactive system for interpretable ICD-10 diagnosis prediction from clinical admission notes. The system is designed for clinicians in training, researchers, and educators exploring prototype-based diagnostic reasoning. The demo links p

Cited by 0 Scholar ↗

2022

Attention Networks for Augmenting Clinical Text with Support Sets for Diagnosis Prediction

Paul Grundmann, Tom Oberhauser, Felix Gers, Alexander Löser

COLING 2022main

Diagnosis prediction on admission notes is a core clinical task. However, these notes may incompletely describe the patient. Also, clinical language models may suffer from idiosyncratic language or imbalanced vocabulary for describing diseases or symptoms. We tackle the task of diagnosis prediction,…

Cited by 7 Source ↗PDF ↗code ↗Scholar ↗

2020

TrainX – Named Entity Linking with Active Sampling and Bi-Encoders

Tom Oberhauser, Tim Bischoff, Karl Brendel, Maluna Menke, Tobias Klatt, Amy Siu +2

COLING 2020system demonstrations

We demonstrate TrainX, a system for Named Entity Linking for medical experts. It combines state-of-the-art entity recognition and linking architectures, such as Flair and fine-tuned Bi-Encoders based on BERT, with an easy-to-use interface for healthcare professionals. We support medical experts in a…

Cited by 3 Source ↗PDF ↗code ↗Scholar ↗