Dans le cadre du Dipl\u00f4me Universitaire (DU) d\u2019\u00c9chographie Obst\u00e9tricale et Gyn\u00e9cologique, M. Mario Gharib, Team Leader au Centre de l\u2019Innovation Num\u00e9rique et de l\u2019Intelligence Artificielle (CINIA) de l\u2019Universit\u00e9 Saint-Joseph de Beyrouth (USJ), a assur\u00e9 deux sessions de formation intitul\u00e9es \u201cGeneral Introduction to AI \u2013 Understanding AI: Foundations, Applications, and Implications in Midwifery\u201d<\/i>, le vendredi 8 mai 2026, de 14h00 \u00e0 16h30.<\/p>\n
Ces sessions ont r\u00e9uni sept sages-femmes professionnelles dans une d\u00e9marche visant \u00e0 mieux comprendre les transformations engendr\u00e9es par l\u2019intelligence artificielle dans le domaine de la sant\u00e9 et, plus particuli\u00e8rement, dans la pratique de la ma\u00efeutique.<\/p>\n
La formation a propos\u00e9 une introduction globale \u00e0 l\u2019intelligence artificielle, en retra\u00e7ant son \u00e9volution et en pr\u00e9sentant ses principaux concepts, notamment le Machine Learning, le Deep Learning, l\u2019intelligence artificielle g\u00e9n\u00e9rative ainsi que les Large Language Models (LLMs). Les participantes ont \u00e9galement d\u00e9couvert les multiples applications de l\u2019IA dans le secteur de la sant\u00e9, telles que l\u2019imagerie m\u00e9dicale, la robotique ou encore les assistants virtuels, et leur impact sur l\u2019am\u00e9lioration de la d\u00e9tection pr\u00e9coce, la personnalisation des soins et l\u2019efficacit\u00e9 op\u00e9rationnelle.<\/p>\n
Un accent particulier a \u00e9t\u00e9 mis sur le prompt engineering, afin de permettre aux participantes de mieux interagir avec les syst\u00e8mes d\u2019intelligence artificielle et d\u2019en optimiser les usages dans un contexte professionnel. La formation a \u00e9galement abord\u00e9 la notion d\u2019IA agentique (Agentic AI), mettant en lumi\u00e8re la capacit\u00e9 de certains syst\u00e8mes \u00e0 agir de mani\u00e8re autonome pour soutenir les flux de travail cliniques et les processus d\u00e9cisionnels.<\/p>\n
Enfin, les sessions ont permis d\u2019ouvrir une r\u00e9flexion sur les enjeux \u00e9thiques li\u00e9s \u00e0 l\u2019usage de l\u2019intelligence artificielle dans le domaine de la sant\u00e9, notamment les biais algorithmiques, la transparence, la confidentialit\u00e9 des donn\u00e9es, la responsabilit\u00e9 ainsi que le consentement des patients. Les \u00e9changes ont soulign\u00e9 l\u2019importance d\u2019une utilisation critique, responsable et \u00e9thique de ces technologies dans les pratiques de soins.<\/p>\n
Les retours des participantes ont \u00e9t\u00e9 particuli\u00e8rement positifs, soulignant la pertinence des th\u00e9matiques abord\u00e9es, la qualit\u00e9 des \u00e9changes ainsi que l\u2019importance croissante de l\u2019intelligence artificielle dans les pratiques de sant\u00e9. Les sages-femmes ont notamment appr\u00e9ci\u00e9 l\u2019approche accessible et concr\u00e8te de la formation, qui leur a permis de mieux comprendre les opportunit\u00e9s, les limites et les enjeux \u00e9thiques li\u00e9s \u00e0 l\u2019int\u00e9gration de l\u2019IA dans leur domaine professionnel.<\/p>\n
\u00c0 travers cette initiative, le CINIA poursuit sa mission d\u2019accompagnement des professionnels et des communaut\u00e9s acad\u00e9miques dans l\u2019adoption r\u00e9fl\u00e9chie des technologies \u00e9mergentes et dans le d\u00e9veloppement des comp\u00e9tences num\u00e9riques li\u00e9es \u00e0 l\u2019intelligence artificielle.<\/p>\n","value_formatted":"
Dans le cadre du Dipl\u00f4me Universitaire (DU) d\u2019\u00c9chographie Obst\u00e9tricale et Gyn\u00e9cologique, M. Mario Gharib, Team Leader au Centre de l\u2019Innovation Num\u00e9rique et de l\u2019Intelligence Artificielle (CINIA) de l\u2019Universit\u00e9 Saint-Joseph de Beyrouth (USJ), a assur\u00e9 deux sessions de formation intitul\u00e9es \u201cGeneral Introduction to AI \u2013 Understanding AI: Foundations, Applications, and Implications in Midwifery\u201d<\/i>, le vendredi 8 mai 2026, de 14h00 \u00e0 16h30.<\/p>\r\n
Ces sessions ont r\u00e9uni sept sages-femmes professionnelles dans une d\u00e9marche visant \u00e0 mieux comprendre les transformations engendr\u00e9es par l\u2019intelligence artificielle dans le domaine de la sant\u00e9 et, plus particuli\u00e8rement, dans la pratique de la ma\u00efeutique.<\/p>\r\n
La formation a propos\u00e9 une introduction globale \u00e0 l\u2019intelligence artificielle, en retra\u00e7ant son \u00e9volution et en pr\u00e9sentant ses principaux concepts, notamment le Machine Learning, le Deep Learning, l\u2019intelligence artificielle g\u00e9n\u00e9rative ainsi que les Large Language Models (LLMs). Les participantes ont \u00e9galement d\u00e9couvert les multiples applications de l\u2019IA dans le secteur de la sant\u00e9, telles que l\u2019imagerie m\u00e9dicale, la robotique ou encore les assistants virtuels, et leur impact sur l\u2019am\u00e9lioration de la d\u00e9tection pr\u00e9coce, la personnalisation des soins et l\u2019efficacit\u00e9 op\u00e9rationnelle.<\/p>\r\n
Un accent particulier a \u00e9t\u00e9 mis sur le prompt engineering, afin de permettre aux participantes de mieux interagir avec les syst\u00e8mes d\u2019intelligence artificielle et d\u2019en optimiser les usages dans un contexte professionnel. La formation a \u00e9galement abord\u00e9 la notion d\u2019IA agentique (Agentic AI), mettant en lumi\u00e8re la capacit\u00e9 de certains syst\u00e8mes \u00e0 agir de mani\u00e8re autonome pour soutenir les flux de travail cliniques et les processus d\u00e9cisionnels.<\/p>\r\n
Enfin, les sessions ont permis d\u2019ouvrir une r\u00e9flexion sur les enjeux \u00e9thiques li\u00e9s \u00e0 l\u2019usage de l\u2019intelligence artificielle dans le domaine de la sant\u00e9, notamment les biais algorithmiques, la transparence, la confidentialit\u00e9 des donn\u00e9es, la responsabilit\u00e9 ainsi que le consentement des patients. Les \u00e9changes ont soulign\u00e9 l\u2019importance d\u2019une utilisation critique, responsable et \u00e9thique de ces technologies dans les pratiques de soins.<\/p>\r\n
Les retours des participantes ont \u00e9t\u00e9 particuli\u00e8rement positifs, soulignant la pertinence des th\u00e9matiques abord\u00e9es, la qualit\u00e9 des \u00e9changes ainsi que l\u2019importance croissante de l\u2019intelligence artificielle dans les pratiques de sant\u00e9. Les sages-femmes ont notamment appr\u00e9ci\u00e9 l\u2019approche accessible et concr\u00e8te de la formation, qui leur a permis de mieux comprendre les opportunit\u00e9s, les limites et les enjeux \u00e9thiques li\u00e9s \u00e0 l\u2019int\u00e9gration de l\u2019IA dans leur domaine professionnel.<\/p>\r\n
\u00c0 travers cette initiative, le CINIA poursuit sa mission d\u2019accompagnement des professionnels et des communaut\u00e9s acad\u00e9miques dans l\u2019adoption r\u00e9fl\u00e9chie des technologies \u00e9mergentes et dans le d\u00e9veloppement des comp\u00e9tences num\u00e9riques li\u00e9es \u00e0 l\u2019intelligence artificielle.<\/p>\r\n","value":"
Dans le cadre du Dipl\u00f4me Universitaire (DU) d\u2019\u00c9chographie Obst\u00e9tricale et Gyn\u00e9cologique, M. Mario Gharib, Team Leader au Centre de l\u2019Innovation Num\u00e9rique et de l\u2019Intelligence Artificielle (CINIA) de l\u2019Universit\u00e9 Saint-Joseph de Beyrouth (USJ), a assur\u00e9 deux sessions de formation intitul\u00e9es \u201cGeneral Introduction to AI \u2013 Understanding AI: Foundations, Applications, and Implications in Midwifery\u201d<\/i>, le vendredi 8 mai 2026, de 14h00 \u00e0 16h30.<\/p>\r\n
Ces sessions ont r\u00e9uni sept sages-femmes professionnelles dans une d\u00e9marche visant \u00e0 mieux comprendre les transformations engendr\u00e9es par l\u2019intelligence artificielle dans le domaine de la sant\u00e9 et, plus particuli\u00e8rement, dans la pratique de la ma\u00efeutique.<\/p>\r\n
La formation a propos\u00e9 une introduction globale \u00e0 l\u2019intelligence artificielle, en retra\u00e7ant son \u00e9volution et en pr\u00e9sentant ses principaux concepts, notamment le Machine Learning, le Deep Learning, l\u2019intelligence artificielle g\u00e9n\u00e9rative ainsi que les Large Language Models (LLMs). Les participantes ont \u00e9galement d\u00e9couvert les multiples applications de l\u2019IA dans le secteur de la sant\u00e9, telles que l\u2019imagerie m\u00e9dicale, la robotique ou encore les assistants virtuels, et leur impact sur l\u2019am\u00e9lioration de la d\u00e9tection pr\u00e9coce, la personnalisation des soins et l\u2019efficacit\u00e9 op\u00e9rationnelle.<\/p>\r\n
Un accent particulier a \u00e9t\u00e9 mis sur le prompt engineering, afin de permettre aux participantes de mieux interagir avec les syst\u00e8mes d\u2019intelligence artificielle et d\u2019en optimiser les usages dans un contexte professionnel. La formation a \u00e9galement abord\u00e9 la notion d\u2019IA agentique (Agentic AI), mettant en lumi\u00e8re la capacit\u00e9 de certains syst\u00e8mes \u00e0 agir de mani\u00e8re autonome pour soutenir les flux de travail cliniques et les processus d\u00e9cisionnels.<\/p>\r\n
Enfin, les sessions ont permis d\u2019ouvrir une r\u00e9flexion sur les enjeux \u00e9thiques li\u00e9s \u00e0 l\u2019usage de l\u2019intelligence artificielle dans le domaine de la sant\u00e9, notamment les biais algorithmiques, la transparence, la confidentialit\u00e9 des donn\u00e9es, la responsabilit\u00e9 ainsi que le consentement des patients. Les \u00e9changes ont soulign\u00e9 l\u2019importance d\u2019une utilisation critique, responsable et \u00e9thique de ces technologies dans les pratiques de soins.<\/p>\r\n
Les retours des participantes ont \u00e9t\u00e9 particuli\u00e8rement positifs, soulignant la pertinence des th\u00e9matiques abord\u00e9es, la qualit\u00e9 des \u00e9changes ainsi que l\u2019importance croissante de l\u2019intelligence artificielle dans les pratiques de sant\u00e9. Les sages-femmes ont notamment appr\u00e9ci\u00e9 l\u2019approche accessible et concr\u00e8te de la formation, qui leur a permis de mieux comprendre les opportunit\u00e9s, les limites et les enjeux \u00e9thiques li\u00e9s \u00e0 l\u2019int\u00e9gration de l\u2019IA dans leur domaine professionnel.<\/p>\r\n
\u00c0 travers cette initiative, le CINIA poursuit sa mission d\u2019accompagnement des professionnels et des communaut\u00e9s acad\u00e9miques dans l\u2019adoption r\u00e9fl\u00e9chie des technologies \u00e9mergentes et dans le d\u00e9veloppement des comp\u00e9tences num\u00e9riques li\u00e9es \u00e0 l\u2019intelligence artificielle.<\/p>\r\n","field":{"ID":19738,"key":"field_664c3e682571d","label":"French Input","name":"french_input_post_block1","aria-label":"","prefix":"acf","type":"wysiwyg","value":null,"menu_order":0,"instructions":"","required":0,"id":"","class":"","conditional_logic":0,"parent":18677,"wrapper":{"width":"","class":"roboto-input","id":""},"default_value":"","tabs":"all","toolbar":"full","media_upload":1,"delay":0,"_name":"french_input_post_block1","_valid":1}},"english_input_post_block1":{"simple_value_formatted":"
As part of the University Diploma (DU) in Obstetrical and Gynecological Ultrasound, Mr. Mario Gharib, Team Leader at the Center for Digital Innovation and Artificial Intelligence (CINIA) at Saint Joseph University of Beirut (USJ), delivered two training sessions entitled \u201cGeneral Introduction to AI \u2013 Understanding AI: Foundations, Applications, and Implications in Midwifery\u201d<\/i> on Friday, May 8, 2026, from 2:00 p.m. to 4:30 p.m.<\/p>\n
These sessions brought together seven professional midwives in an initiative aimed at better understanding the transformations driven by artificial intelligence in the healthcare sector, and more specifically in midwifery practice.<\/p>\n
The training provided a comprehensive introduction to artificial intelligence by tracing its evolution and presenting its key concepts, including Machine Learning, Deep Learning, Generative AI, and Large Language Models (LLMs). Participants also explored the numerous applications of AI in healthcare, such as medical imaging, robotics, and virtual assistants, as well as their impact on improving early detection, personalized care, and operational efficiency.<\/p>\n
Particular emphasis was placed on prompt engineering, enabling participants to better interact with artificial intelligence systems and optimize their use in a professional context. The training also introduced the concept of Agentic AI, highlighting the ability of certain systems to act autonomously in supporting clinical workflows and decision-making processes.<\/p>\n
Finally, the sessions opened a discussion on the ethical challenges related to the use of artificial intelligence in healthcare, including algorithmic bias, transparency, data privacy, accountability, and patient consent. The discussions emphasized the importance of a critical, responsible, and ethical use of these technologies in healthcare practices.<\/p>\n
Participants\u2019 feedback was highly positive, highlighting the relevance of the topics addressed, the quality of the discussions, and the growing importance of artificial intelligence in healthcare practices. The midwives particularly appreciated the accessible and practical approach of the training, which enabled them to better understand the opportunities, limitations, and ethical considerations related to the integration of AI into their professional field.<\/p>\n
Through this initiative, CINIA continues its mission of supporting professionals and academic communities in the thoughtful adoption of emerging technologies and in the development of digital skills related to artificial intelligence.<\/p>\n","value_formatted":"
As part of the University Diploma (DU) in Obstetrical and Gynecological Ultrasound, Mr. Mario Gharib, Team Leader at the Center for Digital Innovation and Artificial Intelligence (CINIA) at Saint Joseph University of Beirut (USJ), delivered two training sessions entitled \u201cGeneral Introduction to AI \u2013 Understanding AI: Foundations, Applications, and Implications in Midwifery\u201d<\/i> on Friday, May 8, 2026, from 2:00 p.m. to 4:30 p.m.<\/p>\r\n
These sessions brought together seven professional midwives in an initiative aimed at better understanding the transformations driven by artificial intelligence in the healthcare sector, and more specifically in midwifery practice.<\/p>\r\n
The training provided a comprehensive introduction to artificial intelligence by tracing its evolution and presenting its key concepts, including Machine Learning, Deep Learning, Generative AI, and Large Language Models (LLMs). Participants also explored the numerous applications of AI in healthcare, such as medical imaging, robotics, and virtual assistants, as well as their impact on improving early detection, personalized care, and operational efficiency.<\/p>\r\n
Particular emphasis was placed on prompt engineering, enabling participants to better interact with artificial intelligence systems and optimize their use in a professional context. The training also introduced the concept of Agentic AI, highlighting the ability of certain systems to act autonomously in supporting clinical workflows and decision-making processes.<\/p>\r\n
Finally, the sessions opened a discussion on the ethical challenges related to the use of artificial intelligence in healthcare, including algorithmic bias, transparency, data privacy, accountability, and patient consent. The discussions emphasized the importance of a critical, responsible, and ethical use of these technologies in healthcare practices.<\/p>\r\n
Participants\u2019 feedback was highly positive, highlighting the relevance of the topics addressed, the quality of the discussions, and the growing importance of artificial intelligence in healthcare practices. The midwives particularly appreciated the accessible and practical approach of the training, which enabled them to better understand the opportunities, limitations, and ethical considerations related to the integration of AI into their professional field.<\/p>\r\n
Through this initiative, CINIA continues its mission of supporting professionals and academic communities in the thoughtful adoption of emerging technologies and in the development of digital skills related to artificial intelligence.<\/p>\r\n","value":"
As part of the University Diploma (DU) in Obstetrical and Gynecological Ultrasound, Mr. Mario Gharib, Team Leader at the Center for Digital Innovation and Artificial Intelligence (CINIA) at Saint Joseph University of Beirut (USJ), delivered two training sessions entitled \u201cGeneral Introduction to AI \u2013 Understanding AI: Foundations, Applications, and Implications in Midwifery\u201d<\/i> on Friday, May 8, 2026, from 2:00 p.m. to 4:30 p.m.<\/p>\r\n
These sessions brought together seven professional midwives in an initiative aimed at better understanding the transformations driven by artificial intelligence in the healthcare sector, and more specifically in midwifery practice.<\/p>\r\n
The training provided a comprehensive introduction to artificial intelligence by tracing its evolution and presenting its key concepts, including Machine Learning, Deep Learning, Generative AI, and Large Language Models (LLMs). Participants also explored the numerous applications of AI in healthcare, such as medical imaging, robotics, and virtual assistants, as well as their impact on improving early detection, personalized care, and operational efficiency.<\/p>\r\n
Particular emphasis was placed on prompt engineering, enabling participants to better interact with artificial intelligence systems and optimize their use in a professional context. The training also introduced the concept of Agentic AI, highlighting the ability of certain systems to act autonomously in supporting clinical workflows and decision-making processes.<\/p>\r\n
Finally, the sessions opened a discussion on the ethical challenges related to the use of artificial intelligence in healthcare, including algorithmic bias, transparency, data privacy, accountability, and patient consent. The discussions emphasized the importance of a critical, responsible, and ethical use of these technologies in healthcare practices.<\/p>\r\n
Participants\u2019 feedback was highly positive, highlighting the relevance of the topics addressed, the quality of the discussions, and the growing importance of artificial intelligence in healthcare practices. The midwives particularly appreciated the accessible and practical approach of the training, which enabled them to better understand the opportunities, limitations, and ethical considerations related to the integration of AI into their professional field.<\/p>\r\n
Through this initiative, CINIA continues its mission of supporting professionals and academic communities in the thoughtful adoption of emerging technologies and in the development of digital skills related to artificial intelligence.<\/p>\r\n","field":{"ID":19739,"key":"field_664c3e7b2571e","label":"English 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