✨ In the ever-advancing world of medical science, artificial intelligence is not just augmenting, but revolutionizing practices in radiology and radiation oncology. With the integration of machine learning and deep learning, we've entered an era where AI-powered tools enhance image quality, aid in computer-aided detection and diagnosis, and optimize auto-segmentation in radiation therapy. This marks a pivotal point where technology meets precision, driving us to provide even more accurate and effective patient care.

🚀 Our thematic collection is more than just a compilation of research; it is a beacon of hope and innovation, promoting evidence-based practice in the field. Featuring four insightful studies, the collection explores various AI approaches—such as LASSO, CNNs, GANs, and Vision Transformers—applied to critical areas like image synthesis, registration, segmentation, classification, CAD, and radiomics. These studies are shaping the future of medical imaging and treatment planning, steering us towards unprecedented possibilities.

🌟 As we stand at the forefront of AI adoption in medicine, the transformative impact on imaging and planning is undeniable. Through continued research and open forums for discussion, we are forging a future where AI not only supports but significantly elevates our ability to diagnose, treat, and care for patients. Let us embrace this transformative journey with inspiration and dedication, knowing that the possibilities are limitless.

The ideas presented here are derived from the following article: https://www.frontiersin.org/journals/radiology/articles/10.3389/fradi.2025.1657119/full

✨ In the ever-advancing world of medical science, artificial intelligence is not just augmenting, but revolutionizing practices in radiology and radiation oncology. With the integration of machine learning and deep learning, we've entered an era where AI-powered tools enhance image quality, aid in computer-aided detection and diagnosis, and optimize auto-segmentation in radiation therapy. This marks a pivotal point where technology meets precision, driving us to provide even more accurate and effective patient care.

🚀 Our thematic collection is more than just a compilation of research; it is a beacon of hope and innovation, promoting evidence-based practice in the field. Featuring four insightful studies, the collection explores various AI approaches—such as LASSO, CNNs, GANs, and Vision Transformers—applied to critical areas like image synthesis, registration, segmentation, classification, CAD, and radiomics. These studies are shaping the future of medical imaging and treatment planning, steering us towards unprecedented possibilities.

🌟 As we stand at the forefront of AI adoption in medicine, the transformative impact on imaging and planning is undeniable. Through continued research and open forums for discussion, we are forging a future where AI not only supports but significantly elevates our ability to diagnose, treat, and care for patients. Let us embrace this transformative journey with inspiration and dedication, knowing that the possibilities are limitless.