Le Dr Alexandre Hudon est médecin psychiatre, chercheur régulier à l’Institut universitaire de santé mentale de Montréal (IUSMM et CR-IUSMM) ainsi que professeur adjoint de clinique à l’Université de Montréal au département de psychiatrie et d’addictologie.  

Passionné des innovations et technologies numériques, ses travaux de recherche portent sur l’intégration de l’intelligence artificielle à la psychiatrie clinique, sur la modélisation de la violence et des phénomènes rares ainsi que sur l’utilisation des technologies numériques en enseignement-apprentissage des sciences de la santé.

Thèmes de recherche

• Intelligence artificielle appliquée à la psychiatrie clinique
• Modélisation du risque de violence et d’événements rares
• Formations et pédagogie à l’aide de la santé numérique

Formations

• Doctorat en psychiatrie et addictologie

  Université de Montréal

• Maîtrise en pédagogie universitaire des sciences de la santé

  Université Laval

• Résidence en psychiatrie

  Université de Montréal

• Doctorat de 1er cycle en médecine

  Université de Montréal

• Baccalauréat en ingénierie logicielle

  Université Concordia

• Certification professionnelle en sciences des données et en apprentissage machine

  Massachusetts Institute of Technology (MIT-IDSS)

Hudon A, Quilliam S, Phraxayavong K, Potvin S, Dumais A. Exploring Therapeutic Outcomes Through Dyadic Interactions: The Role of Patient-Avatar Dynamics in Avatar Therapy. Am J Psychother. Published online December 17, 2024. doi:10.1176/appi.psychotherapy.20240016

Hudon A, Beaudoin M, Phraxayavong K, Potvin S, Dumais A. Exploring the Intersection of Schizophrenia, Machine Learning, and Genomics: Scoping Review. JMIR Bioinform Biotechnol. 2024;5:e62752. Published 2024 Nov 15. doi:10.2196/62752

Hudon A, Beaudoin M. Une revue intégrative répertoriant la créativité dans l’utilisation de la santé numérique et de l’intelligence artificielle à l’Institut universitaire en santé mentale de Montréal [An integrative review documenting creativity in the utilization of digital health and artificial intelligence at the Institut universitaire en santé mentale de Montréal]. Sante Ment Que. 2024;49(2):105-125.

Pellerin J-C, Désilets M, Borduas Pagé S, Hudon A. Factors Considered for the Assessment of Risk in Administrative Review Boards of Canada: A Scoping Review. Forensic Sciences. 2024; 4(4):573- 587. https://doi.org/10.3390/forensicsci4040039

Deneault A, Dumais A, Désilets M, Hudon A. Natural Language Processing and Schizophrenia: A Scoping Review of Uses and Challenges. Journal of Personalized Medicine. 2024; 14(7):744. https://doi.org/10.3390/jpm14070744

Rosca, M. A., La Charité-Harbec, O., Allard, J.-M., Borduas Pagé, S. & Hudon A.: Violence Risk Management Tools Used in Forensic and Acute Psychiatry in North America: a Literature Review. En révision dans Psych International (accepté 2024)

Hudon A, Perry K, Plate AS, Doucet A, Ducharme L, Djona O, Testart Aguirre C, Evoy G Navigating the Maze of Social Media Disinformation on Psychiatric Illness and Charting Paths to Reliable Information for Mental Health Professionals : An Observational Analysis JMIR Preprints. 11/07/2024:64225. https://doi.org/10.2196/preprints.64225

Hudon, A., Kiepura, B., Pelletier, M., & Phan, V. (2024). Using ChatGPT in Psychiatry to Design Script Concordance Tests in Undergraduate Medical Education: Mixed Methods Study. JMIR medical education, 10, e54067. https://doi.org/10.2196/54067

Hudon A, Aird M, La Haye-Caty N. Deciphering the Mosaic of Therapeutic Potential: A Scoping Review of Neural Network Applications in Psychotherapy Enhancements. BioMedInformatics. 2023; 3(4):1101-1111. https://doi.org/10.3390/biomedinformatics3040066

Hudon A, Phraxayavong K, Potvin S, Dumais A. Ensemble Methods to Optimize Automated Text Classification in Avatar Therapy. BioMedInformatics. 2024; 4(1):423-436. https://doi.org/10.3390/biomedinformatics4010024

Hudon, A., Huberdeau, A-J., Awad, J., Courtemanche, AR, Sauvé, JS., Allard, J-M. & Borduas Pagé, S. Retrospective qualitative and descriptive analysis of Community Treatment Order in the Province of Quebec for the year 2022. En révision dans The Journal of Forensic Psychiatry & Psychology (soumis octobre 2023)

Hudon A, Beaudoin M, Phraxayavong K, Potvin S, Dumais A. Enhancing Predictive Power: Integrating a Linear Support Vector Classifier with Logistic Regression for Patient Outcome Prognosis in Virtual Reality Therapy for Treatment-Resistant Schizophrenia. Journal of Personalized Medicine. 2023; 13(12):1660. https://doi.org/10.3390/jpm13121660

Hudon, A., Rosca, M. A., La Charité-Harbec, O., Allard, J.-M., & Borduas Pagé, S. (2023). The Use of Alternative Rooms in Forensic and Regular Psychiatric Units: A Scoping Review. Healthcare, 11(17), 2432. https://doi.org/10.3390/healthcare11172432

Hudon, A., Phraxayavong, K., Potvin, S., & Dumais, A. (2023). Comparing the Performance of Machine Learning Algorithms in the Automatic Classification of Psychotherapeutic Interactions in Avatar Therapy. Machine Learning and Knowledge Extraction, 5(3), 1119-1130. https://doi.org/10.3390/make5030057

Hudon, A., Lammatteo, V., Rodrigues-Coutlée, S., Dellazizzo, L., Giguère, S., Phraxayavong, K., Potvin, S., & Dumais, A. (2023). Exploration of the role of emotional expression of treatmentresistant schizophrenia patients having followed virtual reality therapy: a content analysis. BMC psychiatry, 23(1), 420. https://doi.org/10.1186/s12888-023-04861-2

Hudon, A., Beaudoin, M., Phraxayavong, K., Potvin, S., & Dumais, A. (2023). Unsupervised Machine Learning Driven Analysis of Verbatims of Treatment-Resistant Schizophrenia Patients Having Followed Avatar Therapy. Journal of personalized medicine, 13(5), 801. https://doi.org/10.3390/jpm13050801

Tisseyre, M., Hudon, A., Giguère, C. É., Vallières, A., Bastien, C., Bérubé, F. A., & Cailhol, L. (2022). Insomnie et risque suicidaire dans les troubles de la personnalité du groupe B : une étude comparative transversale [Insomnia and suicide risk in cluster B personality disorder: A comparative cross-sectional study]. Sante mentale au Quebec, 47(2), 113–139.

Hudon, A., Couture, J., Dellazizzo, L., Beaudoin, M., Phraxayavong, K., Potvin, S., & Dumais, A. (2023). Dyadic Interactions of Treatment-Resistant Schizophrenia Patients Having Followed Virtual Reality Therapy: A Content Analysis. Journal of clinical medicine, 12(6), 2299. https://doi.org/10.3390/jcm12062299

Hudon, A., Dellazizzo, L., Phraxayavong, K., Potvin, S., & Dumais, A. (2023). Association Between Cannabis and Violence in Community-Dwelling Patients With Severe Mental Disorders: A Crosssectional Study Using Machine Learning. The Journal of nervous and mental disease, 211(2), 88–94. https://doi.org/10.1097/NMD.0000000000001604

Beaudoin, M., Hudon, A., Giguère, C. E., Potvin, S., & Dumais, A. (2022). Prediction of quality of life in schizophrenia using machine learning models on data from Clinical Antipsychotic Trials of Intervention Effectiveness (CATIE) schizophrenia trial. Schizophrenia (Heidelberg, Germany), 8(1), 29. https://doi.org/10.1038/s41537-022-00236-w

Hudon, A., Léveillé, N., Sanchez-Schicharew, K., Dellazizzo, L., Phraxayavong, K., & Dumais, A. (2022). The impacts of the COVID-19 pandemic on treatment-resistant schizophrenia patients having followed virtual reality therapy or cognitive behavioural therapy: a content analysis. Annals of medicine, 54(1), 2477–2485. https://doi.org/10.1080/07853890.2022.2121852

Hudon, A., Beaudoin, M., Phraxayavong, K., Dellazizzo, L., Potvin, S., & Dumais, A. (2022). Implementation of a machine learning algorithm for automated thematic annotations in avatar: A linear support vector classifier approach. Health informatics journal, 28(4), 14604582221142442. https://doi.org/10.1177/14604582221142442

Hudon, A., Gaudreau-Ménard, C., Bouchard-Boivin, M., Godin, F., & Cailhol, L. (2022). The Use of Computer-Driven Technologies in the Treatment of Borderline Personality Disorder: A Systematic Review. Journal of clinical medicine, 11(13), 3685. https://doi.org/10.3390/jcm11133685

Hudon, A., & Proulx, S. (2022). Topiramate-induced suicidal ideation and olfactory hallucinations: A case report. Reports, 5(2), 13. https://doi.org/10.3390/reports5020013

Hudon, A., Beaudoin, M., Phraxayavong, K., Dellazizzo, L., Potvin, S., & Dumais, A. (2021). Use of Automated Thematic Annotations for Small Data Sets in a Psychotherapeutic Context: Systematic Review of Machine Learning Algorithms. JMIR mental health, 8(10), e22651. https://doi.org/10.2196/22651

Meierer, K., Hudon, A., Sznajder, M., Leduc, M. F., Taddeo, D., Jamoulle, O., Frappier, J. Y., & Stheneur, C. (2019). Anorexia nervosa in adolescents: evolution of weight history and impact of excess premorbid weight. European journal of pediatrics, 178(2), 213–219. https://doi.org/10.1007/s00431-018-3275-y