Applications of artificial intelligence and deep learning in molecular imaging and radiotherapy
Hossein Arabi, Habib Zaidi
Abstract
This brief review summarizes the major applications of artificial intelligence (AI), in particular deep learning approaches, in molecular imaging and radiation therapy research. To this end, the applications of artificial intelligence in five generic fields of molecular imaging and radiation therapy, including PET instrumentation design, PET image reconstruction quantification and segmentation, image denoising (low-dose imaging), radiation dosimetry and computer-aided diagnosis, and outcome prediction are discussed. This review sets out to cover briefly the fundamental concepts of AI and deep learning followed by a presentation of seminal achievements and the challenges facing their adoption in clinical setting.
Topics & Concepts
Artificial intelligenceDeep learningMedical physicsComputer scienceMedical imagingInstrumentation (computer programming)Applications of artificial intelligencePresentation (obstetrics)Molecular imagingMedicineRadiologyOperating systemBiologyBiotechnologyIn vivoMedical Imaging Techniques and ApplicationsRadiomics and Machine Learning in Medical ImagingAdvanced Radiotherapy Techniques