GE will participate in the ACC's Applied Health Innovation Consortium to develop predictive analytics for heart patients.
GE Healthcare recently came up with the announcement this week about teaming up with the American College of Cardiology. It is going to push forward its digital technology and AI-powered cardiac care.
The company is saying that it will lend the perspective for the ACC’s Applied Health Innovation Consortium. It is a collaboration of the patient advocates. Also, it includes the academic, industry, clinical, and technology partners who are aiming at the digital transformation of healthcare.
They are very excited to have GE Healthcare join the force along with the AHIC. Its mission is to transform cardiovascular care and to improve heart health. GE Healthcare is working as a great collaborator for helping to build a roadmap for AI and other digital techniques. It will help in bridging the gaps for clinical care.
According to the press release, this consortium is expecting to define the challenges. It will also define the development of the AI models and will also put the research results into practice.
At the same time, it is also focusing on the implementation of AI models in clinical workflows. This collaboration will start with the addressing of atrial fibrillation management. Also, it includes coronary artery disease along with heart failure and valvular heart disease.
It also intends to identify its priorities and will make progress in its specific ways for impact care. It will particularly focus on AI-driven services like risk prediction, image interpretation, and decision support.
The announcement notes that the cardiology clinicians use GE Healthcare’s AI software to diagnose and treat more than 145M of hearts every year. They are very eager to help in shaping heart care. Whether it is the early detection of the treatment for following up at home, this will help in a variety of ways.
This announcement is getting followed by a trial release by the Mayo Clinic. In 2020 FDA has approved the marketing authorization of the AI enabling software for the cardiac ultrasound for assisting the diagnosis.