An AI Platform integrating imaging data and models, supporting precision care through prostate cancer’s continuum
Our paper was paper entitled “Data infrastructures for AI in medical imaging: a report on the experiences of five EU projects” published in European Radiology Experimental has received 2980 downloads in 2023 and is, therefore, awarded with a “Most Downloaded Paper Certificate”. A special session will take place during the ESR Journals Joint Editorial Board Meeting at ECR 2024 in Vienna to acknowledge the certificate
ProCAncer-I results | Prof. Daniele Regge on clinical validation In this video, we present the results of the clinical validation of AI models that were developed during the ProCAncer-i Project. Clinical validation is a critical step to ensure that AI tools not only...
ProCAncer-I results | Prof. Papanikolaou on Prostanet including PI-QUAL Study and tools Since its inception, the ProCAncer-I project has aimed to establish a robust, ethically compliant AI platform—ProstateNet—to revolutionize prostate cancer (PCa) care through...
In the following AI-generated audio file, ProCAncer-I achievements are described in a simple way. Since its inception, the ProCAncer-I project has been on a mission to transform prostate cancer (PCa) care through advanced AI and ethically compliant data platforms. At...
The role of artificial intelligence (AI) in healthcare is expanding rapidly, but trust remains a crucial barrier to its widespread adoption. The following AI-generated audio file, titled, serves as an example of how AI-driven technologies can contribute to medical research and education.