National Liver Institute, Menoufia University Hosts International Workshop on Artificial Intelligence for Advancing Healthcare
The National Liver Institute at Menoufia University launched today, Wednesday, an intensive and specialized workshop entitled “Artificial Intelligence: Its Role in Scientific Research, Enhancing Healthcare, and Reducing Costs.” The workshop was held under the auspices of Prof. Ahmed Farag El-Kased, President of Menoufia University, and Prof. Ossama Hegazy, Dean of the National Liver Institute, as part of the institute’s ongoing efforts to integrate modern technologies into the medical and research ecosystem.
The workshop was organized by the Foresight and Future Studies Unit, headed by Dr. Sahar Ibrahim, and hosted Prof. Ashraf Dahbi, Professor at the Medical University of Graz, Austria, and Academic Advisor for Anesthesia in the United Kingdom, as the keynote speaker.
In a special statement, Prof. Ossama Hegazy, Dean of the National Liver Institute, emphasized the strategic importance of the workshop, noting:
“Through this workshop, we aim to equip our cadres and researchers with the most advanced AI tools. Our goal is not only to improve the quality of diagnosis and treatment, but also to achieve tangible reductions in healthcare costs, in line with the State’s digital transformation strategy and leadership in the healthcare sector.”
The workshop opened with a specialized session delivered by Prof. Iman Abdel-Samie, Vice Dean of the Institute of Graduate Studies and Research, focusing on “AI in Liver and Gastric Diseases: Current Status and Future Prospects.”
Dr. Iman highlighted advanced AI applications in model training to enhance diagnostic accuracy, the use of AI in endoscopy and risk classification, and the institute’s plans for capacity-building and international collaboration in this field.
The keynote session featured a lecture by Prof. Ashraf Dahbi, who presented a detailed overview of his book “Understanding Numbers in Depth on Anesthesia Monitors.” He discussed the evolution of AI terminology, differentiating between General AI, Narrow AI, and Super AI. A highlight of his talk was his review of the “Kitty Anesthesia Robot,” which he described as “an anesthesia expert working continuously without the need for breaks,” in addition to his analysis of AI-driven drug economics in Austria.
The final session led by Prof. Dahbi focused on advanced topics in liver transplantation, graft rejection, and albumin dialysis. He presented findings from multi-center studies on the use of the Bispectral Index (BIS) as a tool for classifying overt hepatic encephalopathy, highlighting its role as an early indicator of impaired tissue function post-liver transplantation, based on research published in the BMJ Gastroenterology.
The workshop concluded successfully, reaffirming the importance of international collaboration and knowledge exchange between academic and research institutions in harnessing the power of AI to advance scientific research and improve the quality and efficiency of healthcare.
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