AIMC Topic: Epilepsies, Myoclonic

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Improving early diagnosis of rare diseases using Natural Language Processing in unstructured medical records: an illustration from Dravet syndrome.

Orphanet journal of rare diseases
BACKGROUND: The growing use of Electronic Health Records (EHRs) is promoting the application of data mining in health-care. A promising use of big data in this field is to develop models to support early diagnosis and to establish natural history. Dr...

A propositional AI system for supporting epilepsy diagnosis based on the 2017 epilepsy classification: Illustrated by Dravet syndrome.

Epilepsy & behavior : E&B
PURPOSE: The 2017 epilepsy and seizure diagnosis framework emphasizes epilepsy syndromes and the etiology-based approach. We developed a propositional artificial intelligence (AI) system based on the above concepts to support physicians in the diagno...

Human in the Loop: Embedding Medical Expert Input in Large Language Models for Clinical Applications.

Studies in health technology and informatics
The state-of-the-art performance of large language models (LLMs) in medical natural language (NLP) tasks, including medical query answering, summarization of clinical notes, and generation of medical reports has led to the development of a large numb...