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Radiomics features comply with the Image biomarker standardization initiative (IBSI) standards and are validated against published reference values. Unit tests covering data input\/output, radiomics, DVH features, and visualization run on every code update. Workflows are containerized for reproducible, identical execution on the CGC and on local hardware. The CGC enables AI inference from radiological images to be combined with other data types such as genomics and proteomics. Our public CGC project (https:\/\/cgc.sbgenomics.com\/u\/sevenbridges\/pycerr\u2010radiological\u2010radiotherapy\u2010imageanalysis), accessible with free registration, currently includes apps for organ\u2010at\u2010risk (OAR) and lung\u2010nodule segmentation based on published models trained in\u2010house and clinically validated. These apps can be run interactively from a web browser or programmatically via a REST API with client support for multiple programming languages. Notebooks demonstrating the CGC API and pyCERR capabilities are provided at https:\/\/github.com\/cerr\/pycerr\u2010notebooks.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Potential applications<\/jats:title>\n                    <jats:p>The framework facilitates end\u2010to\u2010end radiological image analysis and reproducible research, including data access from public and private repositories, training and inference with AI models, and utilities for data management, visualization, and simplified access to image metadata.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1002\/mp.70701","type":"journal-article","created":{"date-parts":[[2026,10,21]],"date-time":"2026-10-21T10:57:07Z","timestamp":1792580227000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Artificial intelligence apps for medical image analysis using pyCERR and cancer genomics cloud"],"prefix":"10.1002","volume":"53","author":[{"given":"Aditya P.","family":"Apte","sequence":"first","affiliation":[{"name":"Department of Medical Physics Memorial Sloan Kettering Cancer Center  New York New York USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Eve","family":"LoCastro","sequence":"additional","affiliation":[{"name":"Department of Medical Physics Memorial Sloan Kettering Cancer Center  New York New York USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Aditi","family":"Iyer","sequence":"additional","affiliation":[{"name":"Department of Medical Physics Memorial Sloan Kettering Cancer Center  New York New York USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Sharif","family":"Elguindi","sequence":"additional","affiliation":[{"name":"Department of Medical Physics Memorial Sloan Kettering Cancer Center  New York New York USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jue","family":"Jiang","sequence":"additional","affiliation":[{"name":"Department of Medical Physics Memorial Sloan Kettering Cancer Center  New York New York USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Maria","family":"Thor","sequence":"additional","affiliation":[{"name":"Department of Medical Physics Memorial Sloan Kettering Cancer Center  New York New York USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jung Hun","family":"Oh","sequence":"additional","affiliation":[{"name":"Department of Medical Physics Memorial Sloan Kettering Cancer Center  New York New York USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Harini","family":"Veeraraghavan","sequence":"additional","affiliation":[{"name":"Department of Medical Physics Memorial Sloan Kettering Cancer Center  New York New York USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Amita","family":"Shukla\u2010Dave","sequence":"additional","affiliation":[{"name":"Department of Medical Physics Memorial Sloan Kettering Cancer Center  New York New York USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Joseph O.","family":"Deasy","sequence":"additional","affiliation":[{"name":"Department of Medical Physics Memorial Sloan Kettering Cancer Center  New York New York USA"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"311","published-online":{"date-parts":[[2026,10,21]]},"reference":[{"key":"e_1_2_8_2_1","unstructured":"WolfT DebutL SanhV et\u00a0al. eds.Transformers: State\u2010of\u2010the\u2010art natural language processing.Proceedings of the 2020 conference on empirical methods in natural language processing: system demonstrations;2020"},{"key":"e_1_2_8_3_1","unstructured":"HosnyA SchwierM BergerC et\u00a0al.ModelHub.AI: dissemination Platform for Deep Learning Models.arXiv.2019:191113218. preprint."},{"key":"e_1_2_8_4_1","doi-asserted-by":"publisher","DOI":"10.1158\/0008\u20105472.CAN\u201017\u20100387"},{"key":"e_1_2_8_5_1","doi-asserted-by":"publisher","DOI":"10.1158\/0008\u20105472.CAN\u201023\u20102468"},{"key":"e_1_2_8_6_1","doi-asserted-by":"publisher","DOI":"10.1007\/s10278\u2010013\u20109622\u20107"},{"key":"e_1_2_8_7_1","doi-asserted-by":"publisher","DOI":"10.1158\/0008\u20105472.CAN\u201021\u20100950"},{"key":"e_1_2_8_8_1","doi-asserted-by":"publisher","DOI":"10.1385\/ni:5:1:11"},{"key":"e_1_2_8_9_1","doi-asserted-by":"publisher","DOI":"10.1118\/1.1568978"},{"key":"e_1_2_8_10_1","unstructured":"HsiehY\u2010T AggarwalA et\u00a0al. 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