Brigitte Séroussi

Explainable Artificial Intelligence for Clinical Text Classification: A Scoping Review of Methods and Applications

Haifa Sridi, Akram Redjdal, Brigitte Séroussi

Machine learning-based artificial intelligence systems often operate as "black boxes," offering high performance but limited interpretability, which raises concerns in clinical settings where transparency is essential. This study presents a scoping review of explainable artificial intelligence (XAI) approaches used in clinical text …

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Exploring Synergies Between Large Language Models and Knowledge Models in Healthcare: A Scoping Review

Lamine Youbi, Akram Redjdal, Brigitte Séroussi

Large Language Models (LLMs) and knowledge models (KMs) are increasingly integrated to improve clinical decision support systems. We conducted a scoping review to examine the synergy between LLM- and KM-approaches for knowledge model construction, enrichment, and LLM optimization. The selected studies were …

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Clarifying the relationship between biomedical and health informatics and digital health: expert perspectives

Patrice Degoulet, Edward H. Shortliffe, Christian Lovis, William Ed Hammond et autres

The rise of digital health (DH) has sparked debates about its relationship with the long-established field of biomedical and health informatics (BMHI), with some questioning the need for new academic programmes in DH since much of the likely content is already covered …

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Using Large Language Models to Automate the Comparison and Integration of Evolving Clinical Practice Guidelines into Clinical Decision Support Systems

Chaima Abdellaoui, Akram Redjdal, Brigitte Séroussi

Clinical decision support systems (CDSSs) can improve the compliance of therapeutic decisions with clinical practice guidelines (CPGs). However, the rapid evolution of CPGs creates major challenges in keeping CDSS knowledge bases up to date. This study investigates the use of Large Language …

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Scaling Up Digital Health Education at Sorbonne University: Year Two Evaluation of the SN@SU Training Program

Brigitte Séroussi, Sarah Teveny, Lindsay Morel, Aurélie Legastellois et autres

Digital health is becoming increasingly central in healthcare delivery, yet training for health professionals remains limited. In France, the national decree of November 2022 mandated digital health education across all first-cycle health profession curricula (i.e., Bachelor's level), supported by a national competency …

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From Principles to Action: A French Framework for Operationalizing Ethics in Health AI

Brigitte Séroussi

Artificial intelligence (AI) is rapidly transforming healthcare but raises ethical concerns. To address these, the French Delegation for Digital Health developed a practical implementation guide to help manufacturers operationalize ethical principles in health AI systems. Developed between 2023 and 2025 through a …

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Beyond the digital health tsunami: reaffirming biomedical and health informatics as the scientific foundation of digital healthcare transformation

Brigitte Séroussi

Digital health (DH) has emerged as the dominant terminology for technology-enabled healthcare, reshaping institutional discourse, educational programmes and policy agendas. DH is often portrayed as a novel discipline that could supersede Biomedical and Health Informatics (BMHI), creating conceptual ambiguity and the risk …

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A protocol model for simulation trials evaluating clinical decision support systems

Jean-Baptiste Lamy, Cynthia Abi Khalil, Sophie Dubois, Hector Falcoff et autres

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Correction: ABiMed: An intelligent and visual clinical decision support system for medication reviews and polypharmacy management

Abdelmalek Mouazer, Romain Léguillon, Nada Boudegzdame, Thibaud Levrard et autres

International audience

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Monitoring Ethical Tensions Encountered When Using Digital Health Solutions: Implementation of an Ethicovigilance Platform

Nadia Cherchem, Lina Williatte, Elsa Godart, Brigitte Séroussi

Digital health is transforming healthcare by enhancing accessibility, efficiency, and personalized care. It facilitates telemedicine, provides clinicians with data-driven insights, and streamlines administrative processes to reduce costs and improve patient care. However, challenges persist, including privacy concerns, data security issues, and the …

fr, br (code pays fourni par la source)

Teaching Digital Health at Sorbonne University: The Year One Review of the SN@SU Project

Romain Bigay, Ferdinand Dhombres, Xavier Tannier, Brigitte Séroussi

The French healthcare system faces challenges including an aging population, chronic diseases, medical staff shortages, and global pandemics, highlighting the need for a more sustainable model. At the same time, technological advances are reshaping healthcare, leading France to launch the "Digital Health …

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One Size Does Not Fit All: Improving Breast Cancer Patient Retrieval Using Variable-Tailored Similarity Measures

Akram Redjdal, Tram-Anh Hyunh, Jacques Bouaud, Joseph Gligorov et autres

Clinical decision support systems (CDSSs) face challenges in managing complex patient cases that fall outside clinical practice guidelines. Using similarity-based approaches to retrieve comparable patients and apply the therapeutic care plans they received has the potential to support decision-making for complex cases. …

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