Integrating AI Into PET/CT and PET/MRI

Abstract

Positron emission tomography combined with artificial intelligence is becoming a powerful tool for drug discovery. By analyzing PET imaging data with AI algorithms, researchers can find new drug targets, improve treatment plans, and better understand diseases. PET/CT is a leading cancer imaging method used in clinical practice, while combining MRI's anatomical imaging with PET's functional data offers exciting research opportunities. PET/MRI applications in cardiology, neurology, oncology, and inflammation are also expanding. Advances like Total-Body PET could revolutionize therapeutic imaging, providing deeper insights into human physiology and diseases. Integrating AI, machine learning, and deep learning into PET imaging—from image capture to interpretation—has further improved hybrid imaging techniques like PET/CT and PET/MRI, enhancing their diagnostic and research capabilities.

Ähnliche Arbeiten