Creating Synthetic Patients to Address Interoperability Issues: A Case Study with the Management of Breast Cancer Patients. - Akram Redjdal; Jacques Bouaud; Gilles Guézennec; Joseph Gligorov; Brigitte Séroussi (EFMI-STC, 2020)

Are Semantic Annotators Able to Extract Relevant Complexity-Related Concepts from Clinical Notes? - Akram Redjdal; Jacques Bouaud; Joseph Gligorov; Brigitte Séroussi (EFMI-STC, 2021)

Deep Learning, a Not so Magical Problem Solver: A Case Study with Predicting the Complexity of Breast Cancer Cases. - My-Anh Le Thien; Akram Redjdal; Jacques Bouaud; Brigitte Séroussi (EFMI-STC, 2021)

Comparison of MetaMap, cTAKES, SIFR, and ECMT to Annotate Breast Cancer Patient Summaries. - Akram Redjdal; Jacques Bouaud; Joseph Gligorov; Brigitte Séroussi (MedInfo, 2021)

Using Machine Learning on Imbalanced Guideline Compliance Data to Optimize Multidisciplinary Tumour Board Decision Making for the Management of Breast Cancer Patients. - My-Anh Le Thien; Akram Redjdal; Jacques Bouaud; Brigitte Séroussi (MedInfo, 2021)

Reusing Decisions Made with One Decision Support System to Assess a Second Decision Support System: Introducing the Notion of Complex Cases. - Akram Redjdal; Jacques Bouaud; Gilles Guézennec; Joseph Gligorov; Brigitte Séroussi (MIE, 2021)

Methods Used to Compare Narrative Clinical Practice Guidelines: A Scoping Review. - Mohammadreza Azarpira; Akram Redjdal; Jacques Bouaud; Brigitte Séroussi (ICIMTH, 2022)

Using Machine Learning and Deep Learning Methods to Predict the Complexity of Breast Cancer Cases. - Akram Redjdal; Jacques Bouaud; Joseph Gligorov; Brigitte Séroussi (MIE, 2022)

Clinical Decision Support Systems Applied to the Management of Breast Cancer Patients: A Scoping Review. - Natallia Novikava; Akram Redjdal; Jacques Bouaud; Brigitte Séroussi (ICIMTH, 2023)

Measured Performance and Healthcare Professional Perception of Large Language Models Used as Clinical Decision Support Systems: A Scoping Review. - Solène Delourme; Akram Redjdal; Jacques Bouaud; Brigitte Séroussi (MIE, 2024)

Exploring Explainable AI Techniques for Text Classification in Healthcare: A Scoping Review. - Ibrahim Alaa Eddine Madi; Akram Redjdal; Jacques Bouaud; Brigitte Séroussi (MIE, 2024)

Leveraging Rule-Based NLP to Translate Textual Reports as Structured Inputs Automatically Processed by a Clinical Decision Support System. - Akram Redjdal; Natallia Novikava; Emmanuelle Kempf; Jacques Bouaud; Brigitte Séroussi (MIE, 2024)

LIMICS@DEFT'24 : Un mini-LLM peut-il tricher aux QCM de pharmacie en fouillant dans Wikipédia et NACHOS ? - Solène Delourme; Adam Remaki; Christel Gérardin; Pascal Vaillant; Xavier Tannier; Brigitte Séroussi; Akram Redjdal (DEFT@TALN, 2024)

Development of the user-friendly decision aid Rule-based Evaluation and Support Tool (REST) for optimizing the resources of an information extraction task. - Guillaume Bazin; Xavier Tannier; Fanny Adda; Ariel Cohen 005; Akram Redjdal; Emmanuelle Kempf (CoRR, 2025)