How AI Is Changing Medical Imaging

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How AI Is Changing Medical Imaging to Improve Patient Care

hat doctors can peer into the human body without making a single incision once seemed like a miraculous concept. But medical imaging in radiology has come a long way, and the latest artificial intelligence -driven techniques are going much further: exploiting the massive computing abilities of AI and machine learning to mine body scans for differences that even the human eye can miss.

“In the next five years, we will see functional imaging become part of care,” says Dr. Basak Dogan, associate professor of radiology at University of Texas Southwestern Medical Center. “We don’t see the current standard imaging answering the real clinical questions. But functional techniques will be the answer for patients who want higher precision in their care so they can make better informed decisions.

Imaging can be useful in those situations by picking up changes in tumors that aren’t related to their size or anatomy. “In the very early stages of chemotherapy, most of the changes in a tumor are not quite at the level of cell death,” says Dogan. “The changes are related to modifying interactions between the body’s immune cells and cancer cells.” And in many cases, cancer doesn’t shrink in a predictable way from the outside in.

 

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Pavlov used sounds to condition but which modern day scientist is using sounds to mass manipulate by using the emergency broadcast system to manipulate people during their most vulnerable state: sleep!?!

Redundant headline

Call me a conspiracy theorist, but this right here is the real reason HBO cancelled Westworld 😍

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