[HTML][HTML] Explanatory argument extraction of correct answers in resident medical exams

I Goenaga, A Atutxa, K Gojenola, M Oronoz… - Artificial Intelligence in …, 2024 - Elsevier
Developing technology to assist medical experts in their everyday decision-making is
currently a hot topic in the field of Artificial Intelligence (AI). This is specially true within the …

CasiMedicos-Arg: A Medical Question Answering Dataset Annotated with Explanatory Argumentative Structures

E Sviridova, A Yeginbergen, A Estarrona… - arXiv preprint arXiv …, 2024 - arxiv.org
Explaining Artificial Intelligence (AI) decisions is a major challenge nowadays in AI, in
particular when applied to sensitive scenarios like medicine and law. However, the need to …

[HTML][HTML] Quantifying decision support level of explainable automatic classification of diagnoses in Spanish medical records

N Lebeña, A Pérez, A Casillas - Computers in Biology and Medicine, 2024 - Elsevier
Abstract Background and Objective: In the realm of automatic Electronic Health Records
(EHR) classification according to the International Classification of Diseases (ICD) there is a …

MedExpQA: Multilingual Benchmarking of Large Language Models for Medical Question Answering

I Alonso, M Oronoz, R Agerri - arXiv preprint arXiv:2404.05590, 2024 - arxiv.org
Large Language Models (LLMs) have the potential of facilitating the development of Artificial
Intelligence technology to assist medical experts for interactive decision support, which has …

ANTIDOTE: ArgumeNtaTIon-Driven explainable artificial intelligence fOr digiTal mEdicine

C Cardellino, T Collias, B Molinet, E Hain, W Sun… - ECAI 2024, 2024 - ebooks.iospress.nl
The need for transparent AI systems in sensitive domains like medicine has become key. In
this paper we present ANTIDOTE, a software suite proposing different tools for …

[PDF][PDF] MedExpDial: Machine-to-Machine Generation of Explanatory Dialogues for Medical QA

A Zaninello, B Magnini - Proceedings of the 28th Workshop on the …, 2024 - semdial.org
We describe a pilot study on generating synthetic explanatory dialogues for the medical
domain, based on a pre-existing medical dataset of multiplechoice questions with human …