AI’s impact on healthcare – practical session  

After attending this session, participants will be able to:

• Evaluate different types of AI medical applications and assess their suitability for specific clinical contexts.
• Interpret the workflow of a deep learning diagnostic model—from data collection to inference and deployment.
• Apply basic principles of AI integration when considering new tools or systems within their own clinical or research environment.
• Distinguish between AI hype and realistic, validated AI solutions based on the examples presented.
• Engage in informed discussions with AI developers, researchers, or decision-makers regarding responsible implementation.
• Identify opportunities to incorporate AI solutions that improve diagnostic efficiency, medical training, or patient management.

• George Haber
• Mihaela Onofrei
• Alice Minea (Tătaru)
• Elena Paraschiv
• Corina Petean

Artificial Intelligence is becoming an essential pillar of modern healthcare, reshaping the way diseases are diagnosed, monitored, and treated. With rapid advancements in machine learning, medical imaging analysis, and clinical decision-support systems, healthcare professionals are increasingly expected to understand and interact with AI-driven tools. This session is designed to bridge the gap between technological innovation and practical medical application. By bringing together industry leaders, researchers, and clinicians, the event highlights both state-of-the-art AI technologies and real-world implementations that are already improving patient outcomes. Participants will gain insight into the evolving role of AI as a trusted assistant in clinical workflows, a catalyst for early disease detection, and a companion in medical education. This context provides a foundation for understanding not only what AI can do today, but also how it is shaping the future of medical practice.