This Research Topic is part of the ‘Artificial Intelligence in Physics’ series.
The application of artificial intelligence to a variety of physics problems has seen rapid growth in recent years, with advances in its use across the scientific process from modeling to data analysis. This series aims to collect the most recent developments at the interface of Physics and Artificial Intelligence, covering a broad scope including developments in machine learning algorithms and novel applications of existing machine learning methods in various aspects of Medical Physics and Imaging research in this collection in particular. Articles on methodologies or applications including the advantages and limitations of each are welcome.
The contributions to this collection will undergo peer review. Novelty may vary, but the utility in facilitating research and development must be evident. We welcome contributions covering all aspects of Medical Physics and Imaging. Some topics of particular interest for the application of AI may include (but are not limited to):
• magnetic resonance imaging
• mammography (DM)
• 3D Breast Imaging (DBT and BCT),
• Computed Tomography
• Positron Emission Tomography
• radiotherapy
• interventional medicine
• neuromodulation therapy
• optical coherence tomography
• electroencephalogram and magnetoencephalography (EEG and MEG)
• Radiomics and Dosiomics in oncology
This Research Topic is part of the ‘Artificial Intelligence in Physics’ series.
The application of artificial intelligence to a variety of physics problems has seen rapid growth in recent years, with advances in its use across the scientific process from modeling to data analysis. This series aims to collect the most recent developments at the interface of Physics and Artificial Intelligence, covering a broad scope including developments in machine learning algorithms and novel applications of existing machine learning methods in various aspects of Medical Physics and Imaging research in this collection in particular. Articles on methodologies or applications including the advantages and limitations of each are welcome.
The contributions to this collection will undergo peer review. Novelty may vary, but the utility in facilitating research and development must be evident. We welcome contributions covering all aspects of Medical Physics and Imaging. Some topics of particular interest for the application of AI may include (but are not limited to):
• magnetic resonance imaging
• mammography (DM)
• 3D Breast Imaging (DBT and BCT),
• Computed Tomography
• Positron Emission Tomography
• radiotherapy
• interventional medicine
• neuromodulation therapy
• optical coherence tomography
• electroencephalogram and magnetoencephalography (EEG and MEG)
• Radiomics and Dosiomics in oncology
