L'Encephale · 2026
Extracting common processes across psychotherapies through AI.
СтатьяНазвание и аннотация: Перевод в очереди
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Vancappel Alexis, Serres Barthelemy, Bouyer Coline, Saur Rodolphe, Fourel Eva, Tapia Géraldine, Kosinski Thierry, Carré Arnaud, Bortolon Catherine, Marteau-Chasserieau Fanny, Courtois Robert, Romo Lucia, El-Hage Wissam, Baeyens Céline, Morvan Yannick, Besche-Richard Chrystel
Аннотация
INTRODUCTION: Psychological treatments are effective in addressing mental disorders. However, they often remain confined within two primary limitations: diagnostic categories and theoretical frameworks. This study aimed to investigate how artificial intelligence could help transcend these boundaries.
METHOD: We recruited 125 psychotherapists. For each psychotherapeutic approach, we asked them to describe: (1) the proposed processes underlying psychopathology; (2) the techniques employed in treatment; and (3) potential factors contributing to resistance.
RESULTS: By applying topic modeling techniques on the psychotherapists' discourse, we identified 30 topics related to psychopathological or psychotherapeutic processes (e.g., emotional regulation). Notably, none of these topics were exclusively associated with a single psychotherapeutic approach, suggesting that psychotherapies share common underlying processes.
CONCLUSION: Artificial Intelligence techniques can help to identify shared processes across various psychotherapeutic approaches. This proof of concept suggests that further research utilizing these methods is warranted.
METHOD: We recruited 125 psychotherapists. For each psychotherapeutic approach, we asked them to describe: (1) the proposed processes underlying psychopathology; (2) the techniques employed in treatment; and (3) potential factors contributing to resistance.
RESULTS: By applying topic modeling techniques on the psychotherapists' discourse, we identified 30 topics related to psychopathological or psychotherapeutic processes (e.g., emotional regulation). Notably, none of these topics were exclusively associated with a single psychotherapeutic approach, suggesting that psychotherapies share common underlying processes.
CONCLUSION: Artificial Intelligence techniques can help to identify shared processes across various psychotherapeutic approaches. This proof of concept suggests that further research utilizing these methods is warranted.