ProCAncer-I
@ProCAncer_I
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An AI Platform integrating imaging data and models, supporting precision care through prostate cancer’s continuum
European Project
Joined October 2020
ProCAncer-I is using AI & mpMRI to power faster, more accurate #ProstateCancer diagnosis. Trained on 14k patients & 9M images, our platform supports earlier detection & personalized care across Europe. 👉Read more: https://t.co/PtSqcGhBKy
#AIinHealthcare @CORDIS_EU
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🚀AI meets prostate cancer detection. The #ProCAncerI project is building Europe’s largest prostate MRI database to train AI for earlier, smarter diagnosis. Personalized care is no longer a dream — it’s happening! 🎥 https://t.co/7JXORFBvbY
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🚀Watch Prof. Daniele Regge explain the clinical validation of AI models developed in the ProCAncer-I Project: AI can help radiologists read prostate exams faster (+15–21 sec saved) & improve accuracy.
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🚀How is ProCAncer-I is Transforming Prostate Cancer Care with AI? Watch our groundbreaking results! https://t.co/qFMbyIE1JE
#ProstateCancer #AIinHealthcare #MedicalImaging #ProCAncerI #PrecisionMedicine #FederatedLearning
https://t.co/9RybHZpNKD..
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Prof. Nikolaos Papanikolaou, Ph.D. in our next FUTURE-AI Webinar! 📢 📅 Wednesday June 25th, 2025 🕒 14:00 CEST | Duration: 1 hour 📍 Online via Zoom 🎟 𝗥𝗲𝗴𝗶𝘀𝘁𝗲𝗿 𝗳𝗼𝗿 𝗳𝗿𝗲𝗲 https://t.co/tP9iztnBts 🔗 More info: https://t.co/5RssD137oo
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🔹ProCAncer-I is paving the way for data-driven, patient-centric prostate cancer care with AI tools 🩺 💙 🎧In the following #AI-generated audio file, ProCAncer-I achievements are described in a simple way https://t.co/6TOuOI0bc6 🎙️
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Despite significant progress in cancer therapy, there is still a long road ahead to improve disparities among EU countries. Discover #EU4Health and #H2020 projects ensuring that cancer patients in the EU have the same access to cancer diagnosis and treatment. #EWAC2025
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#DeepLearning to detect aggressive #ProstateCancer on #MRI
https://t.co/SZBTQh5uMZ
@nmvrodrigues @npap69 @champalimaudf #OncoRad #AI #ML
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📢 New Paper Published! We're excited to share our latest publication in WIREs Data Mining and Knowledge Discovery on the role of causality in #Explainable_AI (#XAI) — a key topic for building trustworthy medical AI solutions. 📷 Read it here: 📷 https://t.co/6lvYkxP6gX
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📢 New Paper Published! We're excited to share our latest publication in WIREs Data Mining and Knowledge Discovery on the role of causality in #Explainable_AI (#XAI) — a key topic for building trustworthy medical AI solutions. 📄 Read it here: 👇 https://t.co/6lvYkxP6gX
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#New_publication! Using AI models in medical imaging, showcasing a 22% drop in unnecessary biopsies. 💙Smarter tools. Fewer risks. Better care!💙 #AIinHealthcare #MedicalAI #SmartDiagnostics #procancer_i @SpringerNature
https://t.co/IEP6etvv62
link.springer.com
Scientific Reports - Effective reduction of unnecessary biopsies through a deep-learning-assisted aggressive prostate cancer detector
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📢 Don’t miss our second #FUTUREAI webinar! 🗓 April 24, 2025 | 🕑 14:00 CET | 💻 Online Beyond the Algorithm: Ethical & Societal Dimensions of Trustworthy AI Dr. Melanie Goisauf dives into the ethics behind AI in healthcare. 🔗Register: https://t.co/phpP6JrFTi
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🎧Listen how AI can truly earn its place in clinical settings, focusing on the #Future_AI_guidelines - an internationally recognized framework for developing ethical, reliable, and deployable AI solutions in healthcare. 👇 https://t.co/HdWoFVbxem
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📢 Hot off the press! 🤩New publication!
Hot of the press: "Assessing Cancer Presence in Prostate MRI Using Multi-Encoder Cross-Attention Networks" https://t.co/0oO94zj8eX
#mdpijimaging @ProCAncer_I
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🌍 We're in Crete for the final @ProCAncer_I consortium meeting! It's been an amazing journey, and we are very proud of our contributions to the project, leading key areas such as: ✅ Advanced annotation tool for prostate segmentation ✅ Model drift detection in production ✅
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Have you heard about #Simplatab? 🧐 Simplatab is an open-source automated machine learning framework, automating the entire machine Learning pipeline to facilitate the detection of clinically significant prostate cancer using radiomics features. 👉 https://t.co/0Y5UYbakGa
mdpi.com
Background: Prostate cancer (PCa) diagnosis using MRI is often challenged by lesion variability. Methods: This study introduces Simplatab, an open-source automated machine learning (AutoML) framework...
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Save the date! 📅 Date: Wednesday, March 19, 2025 ⏰ Time: 14:00 CET (CET) | Duration: 1 hour 📍 Location: Online via Zoom (details upon registration)
🚀We are excited to launch the FUTURE-AI Webinar Series, designed to dive deeper into the #FUTUREAI guideline for trustworthy AI and continue the conversation about advancing AI in healthcare. 📅 March 19 at 14:00CET 📢Professor Gary Collins ➡️Register: https://t.co/cVqlwfCMGz
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We are delighted to invite you to our session, “ProCAncer-I: An AI Platform Integrating Multiparametric MRI and AI Models”, at the ECR2025! 📅Date: 26 February 2025 ⏲️Time: 15:00 – 16:00 📍 Location: ECR 2025, Vienna, Austria @npap69 @DanieleRegge @myESR
#ECR2025 #HorizonEU
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📢 Save the date for our next ProCAncer-I Dissemination Event! 📅26/02/2025 📍 Vienna, Austria ℹ️ For more details: https://t.co/8n3rcg6X2s We would be delighted to meet you and discuss your questions! #prostateCancer #Horizon2020 #H2020 #dissemination_event #ecr2025
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