Search Results for author: Jens-Michalis Papaioannou

Found 6 papers, 4 papers with code

Generalist embedding models are better at short-context clinical semantic search than specialized embedding models

1 code implementation3 Jan 2024 Jean-Baptiste Excoffier, Tom Roehr, Alexei Figueroa, Jens-Michalis Papaioannou, Keno Bressem, Matthieu Ortala

The increasing use of tools and solutions based on Large Language Models (LLMs) for various tasks in the medical domain has become a prominent trend.

MedAlpaca -- An Open-Source Collection of Medical Conversational AI Models and Training Data

no code implementations14 Apr 2023 Tianyu Han, Lisa C. Adams, Jens-Michalis Papaioannou, Paul Grundmann, Tom Oberhauser, Alexander Löser, Daniel Truhn, Keno K. Bressem

As large language models (LLMs) like OpenAI's GPT series continue to make strides, we witness the emergence of artificial intelligence applications in an ever-expanding range of fields.

Cross-Lingual Knowledge Transfer for Clinical Phenotyping

1 code implementation LREC 2022 Jens-Michalis Papaioannou, Paul Grundmann, Betty van Aken, Athanasios Samaras, Ilias Kyparissidis, George Giannakoulas, Felix Gers, Alexander Löser

Clinical phenotyping enables the automatic extraction of clinical conditions from patient records, which can be beneficial to doctors and clinics worldwide.

Transfer Learning

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