| KEYWORD |
Artificial Intelligence solutions supporting cardiovascular pathologies diagnosis
keywords ARTIFICIAL INTELLIGENCE, DEEP LEARNING, PERSONALIZED MEDICINE
Reference persons SANDRO MOOS, LUCA ULRICH, ENRICO VEZZETTI
Research Groups 3d Lab
Thesis type SPERIMENTAL
Description Artificial intelligence is revolutionizing cardiovascular disease diagnosis by accurately predicting outcomes, enhancing diagnostic tools, and improving patient care. These advancements enable efficient triage, monitor adverse events and speed up the reporting time.
This thesis proposal aims to develop a patient-centered solution to support physicians in early diagnosis through the employement of the most recent Deep Learning models.
Required skills Python
Deadline 12/04/2025
PROPONI LA TUA CANDIDATURA