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Word cloudA word cloud is a visual representation of the most frequently used words in a text or a set of texts. The words appear in different sizes, with the size of each word being proportional to its frequency of occurrence in the text. The more frequently a word is used, the larger it appears in the word cloud. This technique allows for a quick visualization of the most important themes and concepts in a text.
In the context of this page, the word cloud was generated from the publications of the author {}. The words in this cloud come from the titles, abstracts, and keywords of the author's articles and research papers. By analyzing this word cloud, you can get an overview of the most recurring and significant topics and research areas in the author's work.
The word cloud is a useful tool for identifying trends and main themes in a corpus of texts, thus facilitating the understanding and analysis of content in a visual and intuitive way.
Jaiswal, N., Ma, Y., Lebouché, B., Poenaru, D., Pomey, M.-P. A., Achiche, S., Lessard, D., Engler, K., Montiel, Z., Acevedo, H., Rosa Gameiro, R., Gallifant, J., & Osmanlliu, E. (2025). Perspective on patient and non-academic partner engagement for the responsible integration of large language models in health chatbots. Research Involvement and Engagement, 11(1), 9 pages. External link
Maxim. Frija-Gruman, N., Bélanger Villanueva, S., Ma, Y., Osmanlliu, E., Lambert, S., Pomey, M.-P., Hallal, T., Lessard, D., Engler, K., Lin, J.-R., Asselah, J., & Lebouché, B. (2025). Abstract B013: Emotional tone classification as a tool for psychosocial risk detection in oncology: An AI-powered chatbot. Clinical Cancer Research, 31(13_Supplem), B013-B013. External link
Laymouna, M., Ma, Y., Lessard, D., Engler, K., Therrien, R., Schuster, T., Vicente, S., Achiche, S., Haj, M. N. E., Lemire, B., Kawaiah, A., & Lebouché, B. (2024). Needs-assessment for an artificial intelligence-based Chatbot for pharmacists in HIV care: results from a knowledge–attitudes–practices survey. Healthcare, 12(16), 1661-1661. Available
Laymouna, M., Ma, Y., Lessard, D., Schuster, T., Engler, K., & Lebouché, B. (2024). Roles, users, benefits and limitations of chatbots in health care : rapid review. Journal of Medical Internet Research, 26. Available
Ma, Y., Achiche, S., Pomey, M.-P., Paquette, J., Adjtoutah, N., Vicente, S., Engler, K., Laymouna, M., Lessard, D., Lemire, B., Asselah, J., Therrien, R., Osmanlliu, E., Zawati, M. H., Joly, Y., & Lebouché, B. (2024). Adapting and Evaluating an AI-Based Chatbot Through Patient and Stakeholder Engagement to Provide Information for Different Health Conditions: Master Protocol for an Adaptive Platform Trial (the MARVIN Chatbots Study). JMIR Research Protocols, 13, 54668. External link
Ma, Y., Achiche, S., Tu, G., Vicente, S., Lessard, D., Engler, K., Lemire, B., chatbots Patient Expert Committee, M. A. R. V. I. N., Laymouna, M., de Pokomandy, A., Cox, J., & Lebouché, B. (2024). The first AI-based Chatbot to promote HIV self-management: A mixed methods usability study. HIV Medicine, 13720 (23 pages). External link
Ma, Y., Lessard, D., Vicente, S., Engler, K., Rodriguez Cruz, A., Laymouna, M., Hijal, T., Del Balso, L., Thériault, G., Paisible, N., Kronfli, N., Pomey, M.-P., Peiris, H., Barkati, S., Brouillette, M.-J., Klein, M., Cox, J., de Pokomandy, A., Asselah, J., ... Lebouché, B. (2024). Implementing a Patient Portal for the Remote Follow-Up of Self-Isolating Patients With COVID-19 Infection Through Patient and Stakeholder Engagement (the Opal-COVID Study): Mixed Methods Pilot Study. Journal of Participatory Medicine, 16. External link
Lessard, D., Engler, K., Ma, Y., Rodriguez Cruz, A., Vicente, S., Kronfli, N., Barkati, S., Brouillette, M.-J., Cox, J., Kildea, J., Hijal, T., Pomey, M.-P., Bartlett, S. J., Asselah, J., & Lebouché, B. (2022). Remote follow-up of self-isolating COVID-19 patients with a patient portal: Protocol for a mixed-method pilot study (the Opal-COVID study). JMIR Res Protoc, 18(11). External link
Chu, D., Lessard, D., Laymouna, M. A., Engler, K., Schuster, T., Ma, Y., Kronfli, N., Routy, J.-P., Hijal, T., Lacombe, K., Sheehan, N., Rougier, H., & Lebouché, B. (2022). Understanding the Risks and Benefits of a Patient Portal Configured for HIV Care: Patient and Healthcare Professional Perspectives. Journal of Personalized Medicine, 12(2), 14 pages. External link
Ma, Y., Sanmiguel, D., Lessard, D., Thériault, L., Achiche, S., Arora, A., Mate, K., Lemire, B., Hijal, T., Schuster, T., Kildea, J., De Pokomandy, A., Cox, J., Kronfli, N., Klein, M., & Lebouché, B. (2020, July). Chatbot MARVIN: Development study of an Intelligent Conversational Agent to Promote HIV Patients' Engagement in Care and Management of ART Adherence Barriers [Poster]. 23rd International AIDS Conference (AIDS 2020: Virtual). External link
Duchesne, O., Lessard, D., Therriault, D., & Gosselin, F. (2023, May). Design optimization and 3D printing of a sandwich panel for a lunar rover frame [Abstract]. Canadian Society for Mechanical Engineering (CSME) / Computational Fluid Dynamics Society of Canada (CFD Canada). International congress, Sherbrooke, Qc, Canada (1 page). Published in Progress in Canadian Mechanical Engineering, 3. External link
Ma, Y., Bock, G., Cherni, G., Thériault, L., Lessard, D., Achiche, S., & Lebouché, B. (2020, July). Marvin : Intelligent conversational agent for HIV patient self-management [Presentation]. In 23e Congrès international sur le sida (SIDA 2020). Unavailable
Ma, Y., Bock, G., Cherni, G., Lemire, B., Therrien, R., Thériault, L., Lessard, D., Engler, K., & Achiche, S. (2020, November). Meet Marvin, the CHATBOT : using artificial intelligence to engage HIV patients in their antiretroviral therapy [Presentation]. In Workshop on Healthy Living with HIV. External link
Lessard, D. (2023). Étude paramétrique thermique et structurelle d'une structure en panneau sandwich thermoplastique d'un rover lunaire [Master's thesis, Polytechnique Montréal]. Available
