An overview of artificial intelligence in medical physics and radiation oncology
Jiali Liu, Haonan Xiao, Jiawei Fan, Weigang Hu, Yong Yang, Peng Dong, Lei Xing, Jing Cai
Abstract
Artificial intelligence (AI) is developing rapidly and has found widespread applications in medicine, especially radiotherapy. This paper provides a brief overview of AI applications in radiotherapy, and highlights the research directions of AI that can potentially make significant impacts and relevant ongoing research works in these directions. Challenging issues related to the clinical applications of AI, such as robustness and interpretability of AI models, are also discussed. The future research directions of AI in the field of medical physics and radiotherapy are highlighted.
Topics & Concepts
InterpretabilityRadiation oncologyMedical radiationRadiation therapyRobustness (evolution)Applications of artificial intelligenceMedical physicsArtificial intelligenceComputer scienceData scienceMedicineInternal medicineBiologyBiochemistryGeneRadiomics and Machine Learning in Medical ImagingAdvanced Radiotherapy TechniquesArtificial Intelligence in Healthcare and Education