{"id":1801,"date":"2025-09-22T20:30:15","date_gmt":"2025-09-22T17:30:15","guid":{"rendered":"https:\/\/hria.upb.ro\/?p=1801"},"modified":"2025-12-02T01:19:00","modified_gmt":"2025-12-01T22:19:00","slug":"prezentare-la-synasc-2025-inteligenta-artificiala-in-medicina-moderna-de-prof-adina-magda-florea-director-proiect-hria","status":"publish","type":"post","link":"https:\/\/hria.upb.ro\/en\/2025\/09\/22\/prezentare-la-synasc-2025-inteligenta-artificiala-in-medicina-moderna-de-prof-adina-magda-florea-director-proiect-hria\/","title":{"rendered":"Presentation at SYNASC 2025: Artificial Intelligence in Modern Medicine by Prof. Adina Magda Florea, HRIA Project Director"},"content":{"rendered":"

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Between September 22\u201325, the city of Timi\u0219oara hosted the 27th edition of the international symposium SYNASC \u2013 Symbolic and Numeric Algorithms for Scientific Computing<\/a>, an event dedicated to interdisciplinary research in advanced algorithms, artificial intelligence, and formal methods.<\/p>\n

As part of the symposium, Prof. Adina Magda Florea, Director of the Center of Excellence in Artificial Intelligence and leader of the HRIA project, delivered an invited talk on the topic: \u201cExplainability in AI-Assisted Medical Diagnosis.\u201d<\/p>\n

Her presentation addressed current challenges related to the interpretability of AI models used in medical image analysis, with a focus on:<\/p>\n

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  • Transparency in algorithmic decision-making<\/li>\n
  • The role of explainability in clinical workflows<\/li>\n
  • Building trust between AI systems and healthcare professionals<\/li>\n<\/ul>\n<\/div>[vc_column_text css=””]<\/p>\n

    This contribution reaffirms HRIA\u2019s ongoing commitment to developing responsible, explainable, and applicable AI technologies in fields critical to society. In a global context where AI is redefining standards in medicine, education, and industry, such scientific interventions strengthen Romania\u2019s position on the European research map.<\/p>\n

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