Manuel Martín Carrasco, director médico de Menni, aparece de pie junto a un póster científico expuesto en una pantalla digital en el XXVII Congreso Nacional de Psiquiatría. El póster presenta los resultados del estudio PersonIA, centrado en la validación de un modelo de inteligencia artificial para evaluar la personalidad en personas con trastornos mentales comunes a partir de textos en lenguaje natural. Martín lleva un traje oscuro con corbata y gafas, y está sonriendo mientras posa frente a la pantalla.

Scientific Research Line – PersonIA Study

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Human AI at the XXVII National Psychiatry Congress

Prominent researchers and healthcare institutions are conducting the groundbreaking PersonIA Study. This pioneering research, led by Dr. Manuel Martín—Medical Director of Hermanas Hospitalarias in the Basque Country (Aita Menni) and Navarra, and President of the Spanish Society of Psychiatry and Mental Health—aims to validate an AI model capable of assessing personality in individuals with common mental disorders.

The PersonIA Study

This study investigates the accuracy of artificial intelligence when predicting key aspects of personality based on text written by patients’ in natural language. The use of AI in this field is revolutionary, offering faster, less intrusive, and more tailored analyses. Findings from the first phase of the PersonIA study were presented by Dr. Manuel Martín at the XXVII National Psychiatry Congress, cementing Human AI’s role as a key player at the intersection of technology and mental health.

The study was conducted in collaboration with renowned institutions including: the Navarra Health System, the University Clinic of Navarra, Hermanas Hospitalarias in Navarra, and Aita Menni. Researchers from the Affective and Cognitive Psychology Methods and Research Laboratory (MIPAC) and the Data Science and Artificial Intelligence Institute (DATAI) at the University of Navarra also participated in this initial phase. This multidisciplinary team ensured the model was tested on a clinical sample of adults, providing robust results for this first stage.

Promising findings demonstrate the AI model’s ability to deliver accurate assessments in clinical settings, compared to traditional methods such as the NEO-PI-R. These results highlight the potential of PersonIA to revolutionize personality assessment, especially for individuals with mild or common mental disorders.

Purpose and Methodology of PersonIA

The primary goal of the PersonIA project is to validate an artificial intelligence model capable of evaluating personality. It is based on both free-form and guided natural language texts. During the study, participants wrote autobiographical texts and answered questions designed to capture various personality traits based on the OCEAN model.

The AI model leverages advanced natural language processing (NLP) techniques to analyze linguistic, semantic, and contextual patterns in large volumes of text. Preliminary results indicate that the model is valid for predicting personality traits, overcoming some limitations of traditional psychometric evaluations.

Future Perspectives

This breakthrough is just the beginning. As the project moves into new phases, it paves the way for a significant transformation in how personality is assessed in mental health, introducing third-generation tools. PersonIA has the potential to revolutionize psychological and psychiatric evaluations, making them more accessible, comprehensive, accurate, and human-centered.

We are proud of this innovative development. Which combines the best of science and technology to address one of psychiatry’s greatest challenges: providing personalized and humanized care.

To learn more about this scientific research line, stay tuned for our upcoming updates.