

El uso de la IA para extraer valor de la historia clínica
ICT Technologies in the Healthcare Sector. Technologies for data storage and analysis. Language technologies and AI for medical records. Applications.
AI in Healthcare is a vast topic which entails major changes in many sectors related to health. This section provides references on projects and results which are of utmost importance for the sector of healthcare.
ICT Technologies in the Healthcare Sector. Technologies for data storage and analysis. Language technologies and AI for medical records. Applications.
Introduction to AI (2 hours) Data Acquisition (1.5 hours) Analysis, Visualization and AI Applications for Genetic Data (2 hours) AI Applications for Other Biotechnological Data (2 hours) Closure and Conclusions (0.5 hours)
ENFIELD Exchange Open Calls does not fund research itself but promotes interactions and strengthens research collaboration among researchers across Europe by granting employed researchers (PhDs, postdocs, senior researchers) with a mobility allowance of 2...
I am conducting a Master's thesis on the factors influencing the duration of AI projects and am seeking AI experts to complete a short, anonymous survey with just 11 questions. As a thank-you, I am happy to provide participants with a summary of the study...
To boost interpretability with concept vectors, a reverse engineering approach automates concept identification by analyzing the latent space of deep neural networks using Singular Value Decomposition. This framework combines factorization, latent space c...