Explanipedia

Acoustic and machine learning methods for speech-based suicide risk assessment: A systematic review Open

A. Mariè, Marion Garnier, Thomas Bertin, Laura Machart, Guillaume Dardenne , et al. · 2025

Outcome Evaluation of a Multimodal Suicide Prevention Program Designed Through International Collaboration: Protocol for a Controlled Interrupted Time Series Study Open

Jean‐Daniel Carrier, Marie‐Claude Geoffroy, Michel Walter, Katia Dumont, Massimiliano Orri , et al. · 2025

Background The Coopération Québec-France contre la Dépression et l’Isolement (CQFD-I) initiative represents a collaborative effort between Outaouais, a region in Quebec, and Brest, a metropolitan area in France, to reduce suicide through a…

Outcomes and Cost-Benefit of a National Suicide Reattempt Prevention Program Open

Yves Gallien, Sandrine Broussouloux, Alice Demesmaeker, Anne Fouillet, Clément Mertens , et al. · 2025

Importance Suicide attempts (SA) are a major public health concern and a preventable cause of premature death with a significant societal cost. Suicide reattempt (SR) rates are high in the postdischarge period for an SA. Brief contact inte…

Suicide Prevention based on IA detection for Inpatients (SPIIN) Open

Sofian Berrouiguet, C. Apprederisse, L. Carvalho-Fontes, M. Irles · 2025

Introduction Hospital suicide rates vary according to study from 100 to 550 per 100,000 admissions. This is 10 to 30 times the rate of suicide rate in the general population. In prison, there is an average of one death every two or three d…

Alinéa suicide postvention program: a codesigned early proactive intervention for survivors Open

Mélanie Coquelin, Céline Kopp-Bigault, Canelle Barinoil, Sofian Berrouiguet, Cinzia Guarnaccia · 2024

Background Bereavement following suicide is a risk factor for major depression, post-traumatic stress disorder, suicidal behavior, the emergence of bipolar disorders and prolonged mourning. The scientific literature agrees on the need to d…

Development of a web-based ecological momentary assessment tool to measure day-to-day variability of the symptoms in patients with Sjögren’s disease Open

Laurie Georgel, Anas‐Alexis Benyoussef, Sofian Berrouiguet, Dewi Guellec, Guillermo Carvajal Alegria , et al. · 2024

Objectives To develop and validate a web-based ecological momentary assessment (EMA) tool to enhance symptoms monitoring among patients with Sjögren’s disease (SjD). Methods Consecutive adults with SjD were enrolled in this pilot observati…

Predicting suicidal ideation from irregular and incomplete time series of questionnaires in a smartphone-based suicide prevention platform: a pilot study Open

Gwenolé Quellec, Sofian Berrouiguet, Margot Morgiève, Jonathan Dubois, Marion Leboyer , et al. · 2024

Over 700,000 people die by suicide annually. Collecting longitudinal fine-grained data about at-risk individuals, as they occur in the real world, can enhance our understanding of the temporal dynamics of suicide risk, leading to better id…

Psychosis Caused by a Somatic Condition: How to Make the Diagnosis? A Systematic Literature Review Open

Nolwenn Dissaux, Pierre Neyme, Deok-Hee Kim-Dufor, Nathalie Lavenne-Collot, Jonathan Marsh , et al. · 2023

Background: First episode of psychosis (FEP) is a clinical condition that usually occurs during adolescence or early adulthood and is often a sign of a future psychiatric disease. However, these symptoms are not specific, and psychosis can…

Systèmes d'information, aide à la décision et prévention du suicide Open

Sofian Berrouiguet, Michel Gravey, Yannis Haralambous, Christophe Lemey, Philippe Lenca · 2023

International audience

The 3114: A new professional helpline to swing the French suicide prevention in a new paradigm Open

C-E. Notredame, Marielle Wathelet, Margot Morgiève, P. Grandgenèvre, C. Debien , et al. · 2022

Helpline services have been identified as an important component of suicide prevention strategies. While the Covid-19 pandemic has raised major concerns about severe and longstanding mental health consequences, the French Ministry of Healt…

Smartphone-based Ecological Momentary Intervention for secondary prevention of suicidal thoughts and behaviour: protocol for the SmartCrisis V.2.0 randomised clinical trial Open

María Luisa Barrigón, Alejandro Porras‐Segovia, Philippe Courtet, Jorge López‐Castromán, Sofian Berrouiguet , et al. · 2022

Introduction Suicide is one of the leading public health issues worldwide. Mobile health can help us to combat suicide through monitoring and treatment. The SmartCrisis V.2.0 randomised clinical trial aims to evaluate the effectiveness of …

Acceptability and satisfaction with emma, a smartphone application dedicated to suicide ecological assessment and prevention Open

Margot Morgiève, Daniel Yasri, C. Genty, Jonathan Dubois, Marion Leboyer , et al. · 2022

Background As mHealth may contribute to suicide prevention, we developed emma , an application using Ecological Momentary Assessment and Intervention (EMA/EMI). Objective This study evaluated emma usage rate and acceptability during the fi…

Editorial: Brief interventions in suicide prevention across the continuum of care Open

Peter C. Britton, Sofian Berrouiguet, Natalie Riblet, Bao‐Liang Zhong · 2022

EDITORIAL article Front. Psychiatry, 26 July 2022Sec. Mood Disorders https://doi.org/10.3389/fpsyt.2022.976855

Use of Social Media Data to Diagnose and Monitor Psychotic Disorders: Systematic Review Open

Alban Lejeune, Benoît-Marie Robaglia, Michel Walter, Sofian Berrouiguet, Christophe Lemey · 2022

Background Schizophrenia is a disease associated with high burden, and improvement in care is necessary. Artificial intelligence (AI) has been used to diagnose several medical conditions as well as psychiatric disorders. However, this tech…

A pilot study of a text message and online brief contact intervention following self-harm or a suicide attempt: A mixed methods evaluation Open

Natasha Josifovski, Fiona Shand, Kirsten C. Morley, Justin Chia, Richard C. Henshaw , et al. · 2022

Use of social media data to diagnose and monitor schizophrenia: systematic review and perspectives (Preprint) Open

Alban Lejeune, Benoît-Marie Robaglia, Michel Walter, Sofian Berrouiguet, Christophe Lemey · 2022

BACKGROUND Schizophrenia is a disease associated with a high burden. Improvement in care is necessary. OBJECTIVE The objective of our study is to analyse the current capabilities of artificial intelligence (AI) to use social media data …

Social isolation and suicide risk: Literature review and perspectives Open

Chloé Motillon-Toudic, Michel Walter, Monique Séguin, Jean‐Daniel Carrier, Sofian Berrouiguet , et al. · 2022

Background Suicide is a major public health problem and a cause of premature mortality. With a view to prevention, a great deal of research has been devoted to the determinants of suicide, focusing mostly on individual risk factors, partic…

Artificial intelligence and suicide prevention: A systematic review Open

Alban Lejeune, Aziliz Le Glaz, Pierre-Antoine Perron, Johan Sebti, Enrique Baca‐García , et al. · 2022

Background Suicide is one of the main preventable causes of death. Artificial intelligence (AI) could improve methods for assessing suicide risk. The objective of this review is to assess the potential of AI in identifying patients who are…

Droit et intelligence artificielle en psychiatrie Open

Laurène Mazeau, Sofian Berrouiguet · 2021

International audience

Équipe « Decision Aid and Information Discovery » (DECIDE) Open

Sofian Berrouiguet, Romain Billot, Yannis Haralambous, Christophe Lemey, Philippe Lenca , et al. · 2021

Machine Learning and Natural Language Processing in Mental Health: Systematic Review Open

Aziliz Le Glaz, Yannis Haralambous, Deok-Hee Kim-Dufor, Philippe Lenca, Romain Billot , et al. · 2020

Background Machine learning systems are part of the field of artificial intelligence that automatically learn models from data to make better decisions. Natural language processing (NLP), by using corpora and learning approaches, provides …

A Digital Companion, the Emma App, for Ecological Momentary Assessment and Prevention of Suicide: Quantitative Case Series Study Open

Margot Morgiève, C. Genty, Jérôme Azé, Jonathan Dubois, Marion Leboyer , et al. · 2020

Background Many suicide risk factors have been identified, but traditional clinical methods do not allow for the accurate prediction of suicide behaviors. To face this challenge, emma, an app for ecological momentary assessment (EMA), ecol…

Smartphone-based ecological momentary assessment (EMA) in psychiatric patients and student controls: A real-world feasibility study Open

Alejandro Porras‐Segovia, Rosa María Molina‐Madueño, Sofian Berrouiguet, Jorge López‐Castromán, María Luisa Barrigón , et al. · 2020

Épidémie de COVID-19 et prise en charge des conduites suicidaires : challenge et perspectives Open

Ismaël Conejero, Sofian Berrouiguet, Déborah Ducasse, Marion Leboyer, Vincent Jardon , et al. · 2020

A digital companion for ecological momentary assessment and prevention of suicide: A case series on the use of the emma app Open

Margot Morgiève, C. Genty, Jonathan Dubois, Marion Leboyer, Guillaume Vaïva , et al. · 2020

Background: Many suicide risk factors have been identified, but traditional clinical methods do not allow the accurate prediction of suicide behaviors. To face this challenge, we developed emma, an app for Ecological Momentary Assessment/I…

Clinical Applications of Mobile Health Wearable–Based Sleep Monitoring: Systematic Review Open

Élise Guillodo, Christophe Lemey, Mathieu Simonnet, Michel Walter, Enrique Baca‐García , et al. · 2019

Background Sleep disorders are a major public health issue. Nearly 1 in 2 people experience sleep disturbances during their lifetime, with a potential harmful impact on well-being and physical and mental health. Objective The aim of this s…

A Digital Companion, the Emma App, for Ecological Momentary Assessment and Prevention of Suicide: Quantitative Case Series Study (Preprint) Open

Margot Morgiève, C. Genty, Jérôme Azé, Jonathan Dubois, Marion Leboyer , et al. · 2019

BACKGROUND Many suicide risk factors have been identified, but traditional clinical methods do not allow for the accurate prediction of suicide behaviors. To face this challenge, emma, an app for ecological momentary assessment (EM…

Combining mobile-health (mHealth) and artificial intelligence (AI) methods to avoid suicide attempts: the Smartcrises study protocol Open

Sofian Berrouiguet, María Luisa Barrigón, Jorge López‐Castromán, Philippe Courtet, Antonio Artés‐Rodríguez , et al. · 2019

Machine Learning and Natural Language Processing in Mental Health: Systematic Review (Preprint) Open

Aziliz Le Glaz, Yannis Haralambous, Deok-Hee Kim-Dufor, Philippe Lenca, Romain Billot , et al. · 2019

BACKGROUND Machine learning systems are part of the field of artificial intelligence that automatically learn models from data to make better decisions. Natural language processing (NLP), by using corpora and learning approaches, provides…

Geospatial suicide clusters and emergency responses: An analysis of text messages to a crisis service Open

Mark Larsen, Michelle Torok, Kit Huckvale, Bilal Reda, Sofian Berrouiguet , et al. · 2019

Suicide is a leading cause of death globally, and certain locations experience clusters of increased frequencies of suicidal behaviours. Prevention efforts are warranted in these locations to prevent contagion effects, and there is increas…

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