{"id":87863,"date":"2024-10-02T17:19:53","date_gmt":"2024-10-02T15:19:53","guid":{"rendered":"https:\/\/intercoaching.fr\/?p=87863"},"modified":"2024-10-02T19:05:01","modified_gmt":"2024-10-02T17:05:01","slug":"artificial-intelligence-an-ally-to-assess-the-cardiac-risk-of-your-heart","status":"publish","type":"post","link":"https:\/\/intercoaching.fr\/en\/artificial-intelligence-an-ally-to-assess-the-cardiac-risk-of-your-heart\/","title":{"rendered":"Artificial intelligence: an ally to assess the cardiac risk of your heart"},"content":{"rendered":"
\n\n\n\n\n\n\n\n\n\n\n\n\n
\n

IN BRIEF<\/strong><\/p>\n <\/td>\n<\/tr>\n

Description<\/strong><\/td>\nA artificial intelligence<\/strong> able to predict the risk of heart diseases such as heart attack or heart attack.<\/td>\n<\/tr>\n
Study<\/strong><\/td>\nResearchers at the University of Oxford have developed an intelligent system to analyze heart risks<\/strong>.<\/td>\n<\/tr>\n
Use<\/strong><\/td>\nAdvanced technologies using AI to predict<\/strong> heart attacks.<\/td>\n<\/tr>\n
Participation<\/strong><\/td>\nThe ENVISAGE project anticipates 25,000 participants around the world, integrating AI into clinical decision-making for treatment.<\/td>\n<\/tr>\n
Techniques<\/strong><\/td>\nReview of computed tomography (scanner)<\/strong> used to determine heart attack risk with AI.<\/td>\n<\/tr>\n
Audio<\/strong><\/td>\nAn AI from a Berlin start-up identifies heart diseases sound of voice<\/strong>.<\/td>\n<\/tr>\n
Analysis<\/strong><\/td>\nThe software analyzes a photo to guess the person\u2019s age, gender, smoking behavior and blood pressure.<\/td>\n<\/tr>\n
AI Scores<\/strong><\/td>\nAI-based scores predict risk of MACE<\/strong> based on 56 biological, clinical and cardiac MRI-related variables.<\/td>\n<\/tr>\n
Ultrasound<\/strong><\/td>\nI'non-invasive cardiac ultrasound<\/strong> as a valuable tool for understanding how the heart functions in real time.<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/figure>\n\n\n
\n
\n