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Found 7 papers, 2 papers with code
Attention Networks for Augmenting Clinical Text with Support Sets for Diagnosis Prediction
Furthermore, we find that support sets drastically improve the performance for pregnancy- and gynecology-related diagnoses up to 32. 9% points compared to the baseline.
MedAlpaca -- An Open-Source Collection of Medical Conversational AI Models and Training Data
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.
MEDBERT.de: A Comprehensive German BERT Model for the Medical Domain
This paper presents medBERTde, a pre-trained German BERT model specifically designed for the German medical domain.
Cross-Lingual Knowledge Transfer for Clinical Phenotyping
Clinical phenotyping enables the automatic extraction of clinical conditions from patient records, which can be beneficial to doctors and clinics worldwide.
Self-supervised Answer Retrieval on Clinical Notes
Retrieving answer passages from long documents is a complex task requiring semantic understanding of both discourse and document context.
Is Language Modeling Enough? Evaluating Effective Embedding Combinations
We present PubMedSection, a novel topic classification dataset focussed on the biomedical domain.
Learning Contextualized Document Representations for Healthcare Answer Retrieval
Our model leverages a dual encoder architecture with hierarchical LSTM layers and multi-task training to encode the position of clinical entities and aspects alongside the document discourse.
