1st ProCAncer-I Project Dissemination Event in Vienna

An AI Platform integrating imaging data and models, supporting precision care through prostate cancer’s continuum: In Europe, prostate cancer (PC) is the second most frequent type of cancer in men and the third most lethal. Current clinical practices lead to overdiagnosis and overtreatment, necessitating more effective tools for discriminating between aggressive and non-aggressive disease. The EU-funded ProCAncer-I project proposes to develop advanced artificial intelligence models to address unmet clinical needs: diagnosis, metastases detection and prediction of response to treatment. To achieve this, partners will generate a large interoperable repository of health images, and a scalable high-performance computing platform hosting the largest collection of PC Magnetic Resonance Images used for developing robust PC AI models. To ensure the rapid clinical implementation of the models developed, the project’s partners will robustly monitor performance, accuracy and reproducibility. 

Welcome by Coordinating Team

We are very glad to lead a very ambitious and health-driven project that could end to alleviating and helping thousands of men to tackle prostate cancer in a more personalized way supporting a better quality of life

The Coordinating Team

Manolis Tsiknakis

Prof. Manolis Tsiknakis
(Coordinator)

Dr. Nikolaos Papanikolaou
(Scientific Manager)

Prof. Kostas Marias
(Technical Manager)

Prof. Daniele Regge
(Clinical Manager)

The ProCAncer-I project is one of the founding projects of the FUTURE-AI.

FUTURE-AI is an international, multi-stakeholder initiative for defining and maintaining concrete guidelines that will facilitate the design, development, validation, and deployment of trustworthy AI solutions in medical imaging based on six guiding principles: Fairness, Universality, Traceability, Usability, Robustness, and Explainability.

Project Information

Months (Duration)

Euros (Total Budget )

Grant Agreement Nr.

Funded

This project has received funding from the European Union’s Horizon 2020 research and innovation programme

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Topic

DT-TDS-05-2020:
AI for Health Imaging

Highlights

ProCAncer-I in the IEEE-MeMeA Conference in Taormina

ProCAncer-I in the IEEE-MeMeA Conference in Taormina

We are looking forward to participating it the upcoming IEEE-MeMeA Conference in Taormina! The 17th edition of IEEE International Symposium on Medical Measurements and Applications will take place in Giardini Naxos, Taormina in the metropolitan area of Messina,...

1st ProCAncer-I Project Dissemination Event in Vienna

1st ProCAncer-I Project Dissemination Event in Vienna

We are really happy to announce that we will be present at the ECR Congress in Vienna on 13 - 17 of July 2022. During the congress, a special Session will take place  on the 15th of July, presenting and discussing on the ProCAncer-I project with the title: Building...

Use Cases mapped along the prostate cancer management continuum

Use Cases mapped along the prostate cancer management continuum

Nowadays, prostate cancer is highly curable if detected in its early stages. Indeed, when organ-confined at diagnosis, the five-year survival rate of prostate cancer is close to 100%. Unfortunately, current prostate cancer diagnostic pipeline has several limitations. Prostate specific antigen (PSA) has a low sensitivity and specificity.

In June, 2022, we released the PI-CAI challenge: an all-new grand challenge with over 10,000 carefully-curated prostate MRI exams, to validate modern artificial intelligence (AI) algorithms at prostate cancer detection and diagnosis. To learn more, visit: https://pi-cai.grand-challenge.org/

Meet the team! #Hacettep_university ranked 1st among Turkish and in top 400 globally. It is a reference center with adult, pediatric and oncology hospitals. #Radiology Department is center of excellence for diagnosis and microinvasive treatment of #cancer patients. #EU_HEALTH

👏New paper published! 👏
How the ability of radiomic features to discriminate different image textures varies with the volume of the analyzed region.
➡️ https://www.mdpi.com/2076-3417/12/11/5465
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#cancer #reasearch #health_data #data_imaging #artificialintelligence #ai #health #data

We are looking forward to participating it the upcoming IEEE-MeMeA Conference in Taormina with a👉 special session & a👉study!
Read more 👉https://www.procancer-i.eu/news/procancer-i-in-the-ieee-memea-conference-in-taormina/

#H2020 #EU_HEALTH #artificialintelligence #ai #health #data #IEEE #memea2022

Professor Tsiknakis took part in a recent feature in the @EUCouncil site on data availability in the 🇪🇺EU🇪🇺 and the use of #data for research purposes and innovation. Read more ⬇️
https://bit.ly/3NLvpD0
#ai #data #H2020 #EU_HEALTH

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