Artificial Intelligence and Imaging for Oncology

Know about the book -

Artificial Intelligence and Imaging for Oncology is written by Poonam Yadav and published by Frontiers Media SA. It's available with International Standard Book Number or ISBN identification 2832560199 (ISBN 10) and 9782832560198 (ISBN 13).

Recent progress in artificial intelligence (AI) and advanced imaging techniques have brought about exciting diagnostic and therapeutic opportunities in oncology. More and more state-of-the-art CT, PET, and MRI imaging techniques are being applied to tumor imaging, and new interdisciplinary field such as MR-LINAC is booming. We feel there's an urgent need to organize a Research Topic to highlight the application of AI and imaging for various oncology branches such as radiation therapy, as we are witnessing an accelerated integration of imaging and therapy to improve the care of cancer patients. Imaging has also been the backbone of the oncology world. It is used for diagnosis as well as planning. MRI has a superior soft tissue contrast but lacks the electron density information for the dose calculation, alternative approaches use synthetic CT for dose calculation. The development of the MRI-guided system and online adaptation can be considered as the bridge between many specialties, starting from learning about MRI safety by the therapy physicist to the use of AI for robust planning. Active research is done to improve the images (advanced MRI techniques, Nuclear medicine and PET-MRI, synthetic images, CBCT for dose calculation) for clinical workflows. However, all these topics have a lot of room for exploration.