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X-WR-CALNAME:Federation of African Medical Physics Organizations
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X-WR-CALDESC:Events for Federation of African Medical Physics Organizations
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DTSTART:20240101T000000
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DTSTART;TZID=UTC:20250429T100000
DTEND;TZID=UTC:20250429T100000
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LAST-MODIFIED:20250425T202346Z
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SUMMARY:AI-driven dosimetry: Enhancing safety in X-ray imaging - FAMPO Webinar
DESCRIPTION:FAMPO Webinar 2025: AI-driven dosimetry: Enhancing safety in X-ray imaging \n\n\n\nABSTRACT \n\n\n\nDiagnostic X-ray imaging is indispensable in healthcare\, but managing the associated ionizing radiation dose is crucial for patient safety. Traditional dosimetry methods often rely on estimations and phantom-based measurements or calculations.This presentation explores the transformative potential of Artificial Intelligence (AI) in enhancing radiation dosimetry for X-ray imaging. We will discuss how AI tools are being developed and implemented to provide real-time\, and personalized dose estimations by analyzing datasets encompassing patient characteristics\, imaging protocols\, and equipment parameters. Key applications include automated organ dose calculation\, and radiation protection optimization.By enabling more precise dose monitoring and management\, AI-driven dosimetry offers a significant step forward in enhancing patient safety in diagnostic and interventional radiology. The talk will cover current advancements\, implementation challenges\, and future prospects in this rapidly evolving field. \n\n\n\nDate: Tuesday\, 29th April 2025 Time: 10:00 am GMT (13:00 pm EET) Moderator: Prof. Christoph Trauernicht (Former FAMPO President) Speaker: Prof. John Damilakis\, MSc\, PhD\, FIOMP\, FIUPESM
URL:https://fampo-africa.org/event/ai-driven-dosimetry-enhancing-safety-in-x-ray-imaging-2/
LOCATION:Virtual
ATTACH;FMTTYPE=image/jpeg:https://fampo-africa.org/wp-content/uploads/2025/04/PHOTO-2025-04-15-12-49-50-1.jpg
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