{"id":38,"date":"2025-03-06T11:44:14","date_gmt":"2025-03-06T11:44:14","guid":{"rendered":"https:\/\/aimedicine.rwth-aachen.de\/?page_id=38"},"modified":"2025-07-25T11:25:21","modified_gmt":"2025-07-25T11:25:21","slug":"research","status":"publish","type":"page","link":"https:\/\/aimedicine.rwth-aachen.de\/?page_id=38","title":{"rendered":"Research"},"content":{"rendered":"\t\t<div data-elementor-type=\"wp-page\" data-elementor-id=\"38\" class=\"elementor elementor-38\">\n\t\t\t\t<div class=\"elementor-element elementor-element-977d7a9 e-flex e-con-boxed e-con e-parent\" data-id=\"977d7a9\" data-element_type=\"container\" data-e-type=\"container\" data-settings=\"{&quot;background_background&quot;:&quot;classic&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-6c43b27 elementor-widget elementor-widget-heading\" data-id=\"6c43b27\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h1 class=\"elementor-heading-title elementor-size-default\">Research<\/h1>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-a2df131 research_links elementor-widget elementor-widget-text-editor\" data-id=\"a2df131\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p>We focus on developing and applying advanced machine learning techniques to extract actionable insights from clinical routine data to to enable more precise diagnostic, prognostic, and therapeutic decisions. These are our main research fields:<\/p><p><a href=\"#MMAI\">Multimodal AI<\/a><br \/><a href=\"#DMGANS\">Diffusion Models and GANs<\/a><br \/><a href=\"#LLMs\">Large Language Models<\/a><br \/><a href=\"#CI\">Cancer Imaging<\/a><br \/><a href=\"#MI\">Musculoskelettal Imaging<\/a><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-22f905d e-flex e-con-boxed e-con e-parent\" data-id=\"22f905d\" data-element_type=\"container\" data-e-type=\"container\" data-settings=\"{&quot;background_background&quot;:&quot;classic&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t<div class=\"elementor-element elementor-element-6fb134b e-con-full e-flex e-con e-child\" data-id=\"6fb134b\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t<div class=\"elementor-element elementor-element-8383535 elementor-widget elementor-widget-menu-anchor\" data-id=\"8383535\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"menu-anchor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<div class=\"elementor-menu-anchor\" id=\"MMAI\"><\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-7f06a0d alt-dot elementor-widget__width-initial elementor-widget-mobile__width-inherit elementor-widget elementor-widget-text-editor\" data-id=\"7f06a0d\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<h2>Multimodal AI<\/h2><p>We develop multimodal fusion algorithms that combine information from multiple imaging modalities, patient histories, and multi-omics data. By integrating these diverse data sources, we aim to enable more precise diagnostic, prognostic, and therapeutic decisions.<\/p><h5>Papers<\/h5><ul><li><a href=\"https:\/\/doi.org\/10.1148\/radiol.230806\">Multimodal Deep Learning for Integrating Chest Radiographs and Clinical Parameters: A Case for Transformers. Radiology.<\/a><\/li><\/ul>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-0920ff2 elementor-widget__width-initial elementor-widget-mobile__width-inherit elementor-widget elementor-widget-image\" data-id=\"0920ff2\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<img fetchpriority=\"high\" decoding=\"async\" width=\"1024\" height=\"1024\" src=\"https:\/\/aimedicine.rwth-aachen.de\/wp-content\/uploads\/2025\/06\/Multimodal-AI-1024x1024.png\" class=\"attachment-large size-large wp-image-1216\" alt=\"\" srcset=\"https:\/\/aimedicine.rwth-aachen.de\/wp-content\/uploads\/2025\/06\/Multimodal-AI-1024x1024.png 1024w, https:\/\/aimedicine.rwth-aachen.de\/wp-content\/uploads\/2025\/06\/Multimodal-AI-300x300.png 300w, https:\/\/aimedicine.rwth-aachen.de\/wp-content\/uploads\/2025\/06\/Multimodal-AI-150x150.png 150w, https:\/\/aimedicine.rwth-aachen.de\/wp-content\/uploads\/2025\/06\/Multimodal-AI-768x768.png 768w, https:\/\/aimedicine.rwth-aachen.de\/wp-content\/uploads\/2025\/06\/Multimodal-AI.png 1080w\" sizes=\"(max-width: 1024px) 100vw, 1024px\" \/>\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-b036b4a e-con-full e-flex e-con e-child\" data-id=\"b036b4a\" data-element_type=\"container\" data-e-type=\"container\" data-settings=\"{&quot;background_background&quot;:&quot;classic&quot;}\">\n\t\t\t\t<div class=\"elementor-element elementor-element-bc8631d elementor-widget elementor-widget-menu-anchor\" data-id=\"bc8631d\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"menu-anchor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<div class=\"elementor-menu-anchor\" id=\"DMGANS\"><\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-37004c3 elementor-widget__width-initial elementor-widget-mobile__width-inherit elementor-widget elementor-widget-image\" data-id=\"37004c3\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<img decoding=\"async\" width=\"1024\" height=\"1024\" src=\"https:\/\/aimedicine.rwth-aachen.de\/wp-content\/uploads\/2025\/06\/Diffusion-Models-1024x1024.png\" class=\"attachment-large size-large wp-image-1217\" alt=\"\" srcset=\"https:\/\/aimedicine.rwth-aachen.de\/wp-content\/uploads\/2025\/06\/Diffusion-Models-1024x1024.png 1024w, https:\/\/aimedicine.rwth-aachen.de\/wp-content\/uploads\/2025\/06\/Diffusion-Models-300x300.png 300w, https:\/\/aimedicine.rwth-aachen.de\/wp-content\/uploads\/2025\/06\/Diffusion-Models-150x150.png 150w, https:\/\/aimedicine.rwth-aachen.de\/wp-content\/uploads\/2025\/06\/Diffusion-Models-768x768.png 768w, https:\/\/aimedicine.rwth-aachen.de\/wp-content\/uploads\/2025\/06\/Diffusion-Models.png 1080w\" sizes=\"(max-width: 1024px) 100vw, 1024px\" \/>\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-b9a5c1e alt-dot elementor-widget__width-initial elementor-widget-mobile__width-inherit elementor-widget elementor-widget-text-editor\" data-id=\"b9a5c1e\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<div class=\"publications-section\"><h2>Diffusion Models and GANs<\/h2><p>We investigate the potential of generative models, such as diffusion models and Generative Adversarial Networks (GANs), in the medical domain. We leverage these techniques to synthesize realistic medical images for data sharing or augmentation of training data. By pushing the boundaries of generative modeling, we seek to enhance the capabilities of AI systems in healthcare.<\/p><h5>Papers<\/h5><ul><li><a href=\"https:\/\/www.nature.com\/articles\/s42256-022-00560-x\">Image prediction of disease progression for osteoarthritis by style-based manifold extrapolation. Nature Machine Intelligence<\/a><\/li><li><a href=\"https:\/\/www.science.org\/doi\/10.1126\/sciadv.abb7973\">Breaking medical data sharing boundaries by using synthesized radiographs. Science Advances.<\/a><\/li><li><a href=\"https:\/\/www.nature.com\/articles\/s41746-022-00634-5\">Medical domain knowledge in domain-agnostic generative AI. npj Digital Medicine.<\/a><\/li><\/ul><\/div>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-62be3dc e-con-full e-flex e-con e-child\" data-id=\"62be3dc\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t<div class=\"elementor-element elementor-element-dcd184d elementor-widget elementor-widget-menu-anchor\" data-id=\"dcd184d\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"menu-anchor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<div class=\"elementor-menu-anchor\" id=\"LLMs\"><\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-73bfd9c alt-dot elementor-widget__width-initial elementor-widget-mobile__width-inherit elementor-widget elementor-widget-text-editor\" data-id=\"73bfd9c\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<div class=\"publications-section\"><h2>Large Language Models<\/h2><p>We explore the capabilities of large language models in processing and analyzing medical data. By fine-tuning these models on domain-specific medical texts and electronic health records, we aim to extract valuable insights, generate clinical summaries, and support decision-making processes. Our research investigates the potential of language models in tasks such as medical question answering, clinical note summarization, and patient risk stratification.<\/p><h5>Papers<\/h5><ul><li><a href=\"https:\/\/jamanetwork.com\/journals\/jama\/article-abstract\/2816270\">Comparative Analysis of Multimodal Large Language Model Performance on Clinical Vignette Questions. JAMA Network.<\/a><\/li><li><a href=\"https:\/\/pubmed.ncbi.nlm.nih.gov\/38098169\/\">Extracting structured information from unstructured histopathology reports using generative pre-trained transformer 4 (GPT-4). The Journal of Pathology<\/a><\/li><li><a href=\"https:\/\/pubmed.ncbi.nlm.nih.gov\/37853138\/\">Large language models should be used as scientific reasoning engines, not knowledge databases. Nat Med.<\/a><\/li><li><a href=\"https:\/\/www.nature.com\/articles\/s41467-024-45879-8\">Large language models streamline automated machine learning for clinical studies. Nat Commun<\/a><\/li><\/ul><\/div>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-34ebaf1 elementor-widget__width-initial elementor-widget-mobile__width-inherit elementor-widget elementor-widget-image\" data-id=\"34ebaf1\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<img decoding=\"async\" width=\"1024\" height=\"1024\" src=\"https:\/\/aimedicine.rwth-aachen.de\/wp-content\/uploads\/2025\/06\/LLM-1024x1024.png\" class=\"attachment-large size-large wp-image-1218\" alt=\"\" srcset=\"https:\/\/aimedicine.rwth-aachen.de\/wp-content\/uploads\/2025\/06\/LLM-1024x1024.png 1024w, https:\/\/aimedicine.rwth-aachen.de\/wp-content\/uploads\/2025\/06\/LLM-300x300.png 300w, https:\/\/aimedicine.rwth-aachen.de\/wp-content\/uploads\/2025\/06\/LLM-150x150.png 150w, https:\/\/aimedicine.rwth-aachen.de\/wp-content\/uploads\/2025\/06\/LLM-768x768.png 768w, https:\/\/aimedicine.rwth-aachen.de\/wp-content\/uploads\/2025\/06\/LLM.png 1080w\" sizes=\"(max-width: 1024px) 100vw, 1024px\" \/>\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-1aedc34 e-con-full e-flex e-con e-child\" data-id=\"1aedc34\" data-element_type=\"container\" data-e-type=\"container\" data-settings=\"{&quot;background_background&quot;:&quot;classic&quot;}\">\n\t\t\t\t<div class=\"elementor-element elementor-element-acc81b3 elementor-widget elementor-widget-menu-anchor\" data-id=\"acc81b3\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"menu-anchor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<div class=\"elementor-menu-anchor\" id=\"CI\"><\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-8601867 elementor-widget__width-initial elementor-widget-mobile__width-inherit elementor-widget elementor-widget-image\" data-id=\"8601867\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<img loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"1024\" src=\"https:\/\/aimedicine.rwth-aachen.de\/wp-content\/uploads\/2025\/07\/Cancer-Imagning-1024x1024.png\" class=\"attachment-large size-large wp-image-1359\" alt=\"\" srcset=\"https:\/\/aimedicine.rwth-aachen.de\/wp-content\/uploads\/2025\/07\/Cancer-Imagning-1024x1024.png 1024w, https:\/\/aimedicine.rwth-aachen.de\/wp-content\/uploads\/2025\/07\/Cancer-Imagning-300x300.png 300w, https:\/\/aimedicine.rwth-aachen.de\/wp-content\/uploads\/2025\/07\/Cancer-Imagning-150x150.png 150w, https:\/\/aimedicine.rwth-aachen.de\/wp-content\/uploads\/2025\/07\/Cancer-Imagning-768x768.png 768w, https:\/\/aimedicine.rwth-aachen.de\/wp-content\/uploads\/2025\/07\/Cancer-Imagning.png 1080w\" sizes=\"(max-width: 1024px) 100vw, 1024px\" \/>\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-12d4810 alt-dot elementor-widget__width-initial elementor-widget-mobile__width-inherit elementor-widget elementor-widget-text-editor\" data-id=\"12d4810\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<div class=\"publications-section\"><h2>Cancer Imaging<\/h2><p>One of our primary areas of expertise is precision oncology of solid tumors, including immunotherapy. We develop deep learning methods for automated tumor segmentation, characterization, and treatment response assessment from medical images. Our research aims to reduce inter-observer variability in cancer diagnosis and provide objective tools to assist pathologists and radiologists. We also work on identifying clinically relevant morphologic phenotypes and biomarkers associated with response to specific therapeutic agents.<\/p><h5>Papers<\/h5><ul><li><a href=\"https:\/\/pubs.rsna.org\/doi\/full\/10.1148\/radiol.222211\">Using Machine Learning to Reduce the Need for Contrast Agents in Breast MRI through Synthetic Images. Radiology.<\/a><\/li><li><a href=\"https:\/\/pubs.rsna.org\/doi\/abs\/10.1148\/radiol.2018181352?journalCode=radiology\">Radiomic versus Convolutional Neural Networks Analysis for Classification of Contrast-enhancing Lesions at Multiparametric Breast MRI. Radiology<\/a><\/li><li><a href=\"https:\/\/www.nature.com\/articles\/s41575-024-00919-y\">Artificial intelligence in liver cancer \u2014 new tools for research and patient management. Nature Reviews Gastroenterology &amp; Hepatology.<\/a><\/li><\/ul><\/div>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-109c880 e-con-full e-flex e-con e-child\" data-id=\"109c880\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t<div class=\"elementor-element elementor-element-a610cd4 elementor-widget elementor-widget-menu-anchor\" data-id=\"a610cd4\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"menu-anchor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<div class=\"elementor-menu-anchor\" id=\"MI\"><\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-9557537 alt-dot elementor-widget__width-initial elementor-widget-mobile__width-inherit elementor-widget elementor-widget-text-editor\" data-id=\"9557537\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<div class=\"publications-section\"><h2>Musculoskelettal Imaging<\/h2><p>Our lab also focuses on applying AI techniques to musculoskeletal imaging. We develop methods for automated segmentation and analysis of musculoskeletal structures, such as bones, cartilage, and tendons, from MRI data. Our research aims to improve the accuracy and efficiency of musculoskeletal disease diagnosis, monitor disease progression, and assess treatment outcomes. We collaborate closely with clinical experts to develop AI-aided diagnostic tools that can be integrated into clinical workflows.<\/p><h5>Papers<\/h5><ul><li><a href=\"https:\/\/pubs.rsna.org\/doi\/full\/10.1148\/ryai.2020200198\">Automated Analysis of Alignment in Long-Leg Radiographs Using a Fully Automated Support System Based on Artificial Intelligence. Radiology: Artificial Intelligence<\/a><\/li><\/ul><\/div>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-3714e84 elementor-widget__width-initial elementor-widget-mobile__width-inherit elementor-widget elementor-widget-image\" data-id=\"3714e84\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<img loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"1024\" src=\"https:\/\/aimedicine.rwth-aachen.de\/wp-content\/uploads\/2025\/07\/Musculosceletal-Imaging-1024x1024.png\" class=\"attachment-large size-large wp-image-1358\" alt=\"\" srcset=\"https:\/\/aimedicine.rwth-aachen.de\/wp-content\/uploads\/2025\/07\/Musculosceletal-Imaging-1024x1024.png 1024w, https:\/\/aimedicine.rwth-aachen.de\/wp-content\/uploads\/2025\/07\/Musculosceletal-Imaging-300x300.png 300w, https:\/\/aimedicine.rwth-aachen.de\/wp-content\/uploads\/2025\/07\/Musculosceletal-Imaging-150x150.png 150w, https:\/\/aimedicine.rwth-aachen.de\/wp-content\/uploads\/2025\/07\/Musculosceletal-Imaging-768x768.png 768w, https:\/\/aimedicine.rwth-aachen.de\/wp-content\/uploads\/2025\/07\/Musculosceletal-Imaging.png 1080w\" sizes=\"(max-width: 1024px) 100vw, 1024px\" \/>\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t","protected":false},"excerpt":{"rendered":"<p>Research We focus on developing and applying advanced machine learning techniques to extract actionable insights from clinical routine data to to enable more precise diagnostic, prognostic, and therapeutic decisions. These are our main research fields: Multimodal AIDiffusion Models and GANsLarge Language ModelsCancer ImagingMusculoskelettal Imaging Multimodal AI We develop multimodal fusion algorithms that combine information from [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_acf_changed":false,"footnotes":""},"class_list":["post-38","page","type-page","status-publish","hentry"],"acf":[],"_links":{"self":[{"href":"https:\/\/aimedicine.rwth-aachen.de\/index.php?rest_route=\/wp\/v2\/pages\/38","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/aimedicine.rwth-aachen.de\/index.php?rest_route=\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/aimedicine.rwth-aachen.de\/index.php?rest_route=\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/aimedicine.rwth-aachen.de\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/aimedicine.rwth-aachen.de\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=38"}],"version-history":[{"count":103,"href":"https:\/\/aimedicine.rwth-aachen.de\/index.php?rest_route=\/wp\/v2\/pages\/38\/revisions"}],"predecessor-version":[{"id":1362,"href":"https:\/\/aimedicine.rwth-aachen.de\/index.php?rest_route=\/wp\/v2\/pages\/38\/revisions\/1362"}],"wp:attachment":[{"href":"https:\/\/aimedicine.rwth-aachen.de\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=38"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}