Artificial Intelligence

Artificial intelligence (AI) is becoming a crucial component of healthcare to help augment physicians and make them more efficient. In medical imaging, it is helping radiologists more efficiently manage PACS worklists, enable structured reporting, auto detect injuries and diseases, and to pull in relevant prior exams and patient data. In cardiology, AI is helping automate tasks and measurements on imaging and in reporting systems, guides novice echo users to improve imaging and accuracy, and can risk stratify patients. AI includes deep learning algorithms, machine learning, computer-aided detection (CAD) systems, and convolutional neural networks. 

Artificial intelligence (AI) is being developed to help make cardiovascular clinical trials more efficient, lead to faster advances in patient care, and bring possible new treatments to heart patients more quickly. The major cardiac research center of Icahn School of Medicine at Mount Sinai announced today that it signed a memorandum of understanding with the Chiba Institute of Technology (CIT) to collaborate on using AI to enhance cardiovascular disease research.

Mount Sinai partners with the Chiba Institute of Technology on AI to transform cardiovascular research 

Agreement aims to use AI to help make cardiology clinical trials more efficient and lead to faster advances in patient care. 

October 5, 2023
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FDA clears AI model for detecting signs of heart failure in ECGs

The advanced AI model, developed by Anumana with help from Mayo Clinic, could provide value as a screening tool for heart failure.

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Radiology workflow specialists announce 3 AI partnerships ahead of November launch

Sirona Medical is launching a platform in November to bring more AI options to radiologists.

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Cardiologists to celebrate World Heart Day with CCTA webinar

The free webinar, scheduled for Sept. 29, will examine the benefits of using CCTA and FFR-CT to manage chest pain patients. 

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