About this Research Topic
The advent of precision medicine has revolutionized cancer research and treatment strategies, leading us in a brand-new era marked by personalized therapeutic interventions tailored to individual patients. Radiomics, the extraction and analysis of quantitative features from medical images, provides a wealth of information beyond what is discernible to the human eye. Coupled with the computational power of AI, these techniques offer unprecedented opportunities. This research topic, titled "Towards Precision Oncology: Assessing the Role of Radiomics and Artificial Intelligence," delves into the intersection of radiomics and artificial intelligence (AI) in advancing this field.
This Research Topic to explore the evolving landscape of precision oncology by investigating the synergistic impact of radiomics and AI on cancer diagnosis, prognosis, and treatment planning. By critically assessing the current state-of-the-art methodologies and their clinical implications, the contributors to this issue endeavour to pave the way for the integration of these innovative approaches into routine oncological practice. Through comprehensive exploration, this research topic seeks to elucidate the potential of Radiomics and AI in steering the trajectory of precision oncology towards more effective and personalized patient care.
This Research Topic prioritizes various type of contributions, from systematic reviews and meta-analyses, to original research, all within the topic of precision oncology, radiomics, and artificial intelligence. Systematic reviews and meta-analyses provide comprehensive syntheses of existing knowledge, offering invaluable insights into the current landscape. Original research, on the other hand, fuels innovation by presenting novel methodologies and findings that drive the field forward.
By embracing this spectrum of contributions, the research topic aims to build a robust foundation for advancing our understanding of the intricate interplay between radiomics, artificial intelligence, and precision oncology.
This Research Topic to explore the evolving landscape of precision oncology by investigating the synergistic impact of radiomics and AI on cancer diagnosis, prognosis, and treatment planning. By critically assessing the current state-of-the-art methodologies and their clinical implications, the contributors to this issue endeavour to pave the way for the integration of these innovative approaches into routine oncological practice. Through comprehensive exploration, this research topic seeks to elucidate the potential of Radiomics and AI in steering the trajectory of precision oncology towards more effective and personalized patient care.
This Research Topic prioritizes various type of contributions, from systematic reviews and meta-analyses, to original research, all within the topic of precision oncology, radiomics, and artificial intelligence. Systematic reviews and meta-analyses provide comprehensive syntheses of existing knowledge, offering invaluable insights into the current landscape. Original research, on the other hand, fuels innovation by presenting novel methodologies and findings that drive the field forward.
By embracing this spectrum of contributions, the research topic aims to build a robust foundation for advancing our understanding of the intricate interplay between radiomics, artificial intelligence, and precision oncology.
Keywords: Precision Medicine, Oncologic Imaging, Radiomics, Artificial Intelligence, Imaging Biomarkers, Machine Learning, Deep Learning
Important Note: All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.
