Happy to share that the Special issue on Artificial Intelligence in Medical Physics edited by Qian Tao, Steffen Bollmann, Thomas Küstner and me has been published in Zeitschrift for Medizinische Physic (Journal of Medical Physics).In this issue, we compiled a set of 13 articles demonstrating how AI emerges into the broad field of medical physics:Fetchet et al: The use of deep learning in interventional radiotherapy (brachytherapy): a review with a focus on open source and open data, Z Med Phys (2022), 10.1016/j.zemedi.2022.10.005Wang et al., A generalization performance study on the boosting radiotherapy dose calculation engine based on super-resolution, Z Med Phys (2023), 10.1016/j.zemedi.2022.10.006Nachbar et al., Automatic AI-based contouring of prostate MRI for online adaptive radiotherapy, Z Med Phys (2023), 10.1016/j.zemedi.2023.05.001Leube et al., PSMA-PET improves deep learning-based automated CT kidney segmentation, Z Med Phys (2023), 10.1016/j.zemedi.2023.08.006Zatcepin et al., Machine learning-based approach reveals essential features for simplified TSPO PET quantification in ischemic stroke patients, Z Med Phys (2023), 10.1016/j.zemedi.2022.11.008Hajianfa et al., Artificial intelligence-based analysis of whole-body bone scintigraphy: the quest for the optimal deep learning algorithm and comparison with human observer performance, Z Med Phys (2023), 10.1016/j.zemedi.2023.01.008Fuhres et al., Feature-guided deep learning reduces signal loss and increases lesion CNR in diffusion-weighted imaging of the liver, Z Med Phys (2023), 10.1016/j.zemedi.2023.07.005Simko et al., Towards MR contrast independent synthetic CT generation, Z Med Phys (2023), 10.1016/j.zemedi.2023.07.001Güllmar et al., Predicting disease-related MRI patterns of multiple sclerosis through GAN-based image editing, Z Med Phys (2023), 10.1016/j.zemedi.2023.12.001Turk et al., Automatic detection of brain tumors with the aid of ensemble deep learning architectures and class activation map indicators by employing magnetic resonance images, Z Med Phys (2022), 10.1016/j.zemedi.2022.11.010Raj et al., Automated prognosis of renal function decline in ADPKD patients using deep learning, Z Med Phys (2023), 10.1016/j.zemedi.2023.08.001Strittmatter et al., Deep learning-based affine medical image registration for multimodal minimal-invasive image-guided interventions – a comparative study on generalizability, Z Med Phys (2023), 10.1016/j.zemedi.2023.05.003Mercolli et al., Towards quality management of artificial intelligence systems for medical applications, Z Med Phys (2024), 10.1016/j.zemedi.2024.02.001A big thanks to my guest editors for their support in editing this special issue. If you are interested in how ChatGPT would have written an editorial in the light of this special issue I suggest to read the editorial: https://lnkd.in/eHaEQwNT 😉 #ai #medphys