85% of people with pancreatic cancer are diagnosed too late to receive life-saving treatment. Trevor Noah talks with Dr. Elliot K. Fishman, Professor of Radiology and Radiological Science at Johns Hopkins Medicine, to discover how AI is revolutionizing the fight against one of the deadliest cancers known to humankind, potentially saving more than 30,000 lives a year.
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Now, this, is an excellent use of AI.
Introduction of AI-driven technologies into medicine especially the newer technologies has a lot of potentials to improve the management of many difficult to manage diseases especially cancer related conditions. As a physician in health informatics, I am excited about this new norm.
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Excellent progress in detection, options and outcomes.
Amazing ✨ Such an amazing time to live this day and age to see technology helping humanity in a way we’ve never seen in our life time ✨💪🚀
Microsoft,This is a truly eye-opening post. It's disheartening to know that such a high percentage of people with pancreatic cancer are diagnosed too late to receive life-saving treatment. However, the advancements in AI and the potential to revolutionize the fight against this deadly disease offer hope for those affected. The collaboration between Trevor Noah and Dr. Elliot K. Fishman, Professor of Radiology and Radiological Science at Johns Hopkins Medicine, is commendable. Their efforts to shed light on the impact of AI in early detection and potentially saving over 30,000 lives annually is inspiring. It's incredible how technology continues to play a pivotal role in improving healthcare outcomes, especially when it comes to diseases as devastating as pancreatic cancer. The integration of AI into radiology practices can enhance accuracy and efficiency, leading to earlier diagnoses and timely intervention. As professionals in various industries, it's essential for us to stay informed about these breakthroughs and lend our support wherever possible.
It's incredible to see AI making such strides in early detection and diagnosis of pancreatic cancer. Beyond just saving lives, this technology could also significantly reduce healthcare costs and improve patient outcomes by enabling more personalized treatment plans. The integration of AI in radiology not only enhances diagnostic accuracy but also accelerates the entire process, ensuring patients receive timely and effective care. This is a game-changer for the medical community and patients alike.
Early Pancreatic Cancer Detection is so needed!
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