Submission declined on 3 December 2025 by Reconrabbit (talk). This draft's references do not show that the subject meets Wikipedia's criteria for inclusion for organizations and companies. The draft requires multiple published secondary sources that: provide significant coverage: discuss the subject in detail, excluding routine coverage like product launches, staff appointments, or financial reports and listings in databases or listicles; are reliable: from reputable outlets with editorial oversight; are independent: not connected to the subject, such as press releases, the subject's own website, or sponsored content. Please add references that meet all three of these criteria. If none exist, the subject is not yet suitable for Wikipedia. If you would like to continue working on the submission, click on the "Edit" tab at the top of the window. If you have not resolved the issues listed above, your draft will be declined again and potentially deleted. If you need extra help, please ask us a question at the AfC Help Desk or get live help from experienced editors. Please do not remove reviewer comments or this notice until the submission is accepted. Where to get help If you need help editing or submitting your draft, please ask us a question at the AfC Help Desk or get live help from experienced editors. These venues are only for help with editing and the submission process, not to get reviews. If you need feedback on your draft, or if the review is taking a lot of time, you can try asking for help on the talk page of a relevant WikiProject. Some WikiProjects are more active than others so a speedy reply is not guaranteed. How to improve a draft Wikipedia:Contributing to Wikipedia – a basic overview on how to edit Wikipedia. Help:Wikitext – how to use the markup Help:Referencing for beginners – how to include references Wikipedia:Article development – how to develop your article Wikipedia:Writing better articles – how to improve your article Wikipedia:Verifiability – make sure your article includes reliable third-party sources You can also browse Wikipedia:Featured articles and Wikipedia:Good articles to find examples of Wikipedia's best writing on topics similar to your proposed article. Improving your odds of a speedy review To improve your odds of a faster review, tag your draft with relevant WikiProject tags using the button below. This will let reviewers know a new draft has been submitted in their area of interest. For instance, if you wrote about a female astronomer, you would want to add the Biography, Astronomy, and Women scientists tags. Add tags to your draft Editor resources Easy tools: Citation bot (help) | Advanced: Fix bare URLs Declined by Reconrabbit 6 months ago. Last edited by Citation bot 4 months ago. Reviewer: Inform author. Resubmit Please note that if the issues are not fixed, the draft will be declined again.

• Comment: There are not enough sources that describe the company and project in detail that are independent from it. -- Reconrabbit 14:29, 3 December 2025 (UTC)

Raidium is a French medical-imaging startup company that develops radiology-focused artificial intelligence (AI) .^[1] Founded in 2022 and based in Paris, it builds foundation models for three-dimensional CT scans and Magnetic Resonance Imaging (MRI) and integrates them into an interactive radiology viewer used for image analysis and the extraction of imaging biomarkers for clinical workflows and clinical trials .^[2][3][4]

Raidium was founded in 2022 in Paris by radiologist Dr. Paul Hérent and engineer Pierre Manceron, both of whom previously worked at AI-powered biotechnology company Owkin .^[5]

The company has developed a CT-based foundation model trained on several thousand scans for automated three-dimensional lesion segmentation. The system uses point- or box-based prompts to generate editable segmentation masks .^[6][7][8] Published evaluations report segmentation and size-measurement performance comparable to radiologist benchmarks .^[9][10]

In 2025, the company released a multimodal radiology foundation model trained on cross-sectional imaging from a hospital, comprising about 150,000 examinations .^[11] On a 19-task external benchmark, the model has been reported to identify organs, detect acute findings such as brain haemorrhage and myocardial infarction, and predict outcomes in tumour staging .^[12][13]

In 2024 and 2025, Raidium researchers presented preliminary work at the American Society of Clinical Oncology (ASCO) annual meeting, describing AI-assisted tumour measurement and longitudinal CT evaluation using automated Response evaluation criteria in solid tumors (RECIST)-style metrics.^[14][15]

In 2024, Raidium was selected for the EIC Accelerator programme of the European Innovation Council (EIC), receiving grant funding for the FoundRa project under Horizon Europe.^[16][17]

Later that year, the company announced a €16 million seed round backed by several investors, including Newfund and the European Innovation Council Fund^[18] .^[19][20]

• Amgen Golden Ticket (BioLabs Hôtel-Dieu, 2023) – Winner of Amgen France's first Golden Ticket competition at BioLabs Hôtel-Dieu.^[21][22]

• i-Lab Innovation Contest, Grand Prix (2024) – French government's i-Lab innovation contest.^[23][24][25]

• Station F – Future 40 (2024), highlighting 40 high-growth startups from the Paris campus.^[26]

• Challenge "AI for Health" (2025) – Winner of the "Challenge IA pour la Santé" organised by the Île-de-France Region and Hôpital Fondation Adolphe de Rothschild [fr].^[27]

• Aidoc