Advancing AI models for Atrial Fibrillation-Related Stroke in Europe

AI models

Isansys to play crucial role in major European project to develop novel personalised AI models (virtual twins) and decision support tools for atrial fibrillation related stroke Isansys Lifecare, a world leader in real-time patient data acquisition and analysis platforms and remote patient monitoring solutions, is playing a pivotal role in a €10 million project on […]

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Poor glycemic control predictions from AI

glycemic

Poor glycemic control in patients with type 2 diabetes can be predicted from patient information systems with the help of machine learning. The risk for poor glycemic control in patients with type 2 diabetes can be predicted with confidence by using machine learning methods, a new study from Finland finds. The most important factors predicting […]

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AI tech advances for World Heart Day

World Heart Day

World Heart Day is the 29th September. Created by the World Heart Federation, World Heart Day informs people around the globe that CVD, including heart disease and stroke, is the world’s leading cause of death claiming 17.9 million lives each year. Doing the math to pin down a rare heart disease: Science and medicine have […]

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Mayo Clinic digital pathology enterprise

digital pathology

The Mayo Clinic Department of Laboratory Medicine and Pathology has initiated an enterprise-wide implementation of the Sectra digital slide review and image storage and management system to enable digital pathology as part of Mayo Clinic’s digital health and practice transformation initiatives. “As Mayo Clinic continues to lead the transformation of health care delivery and accessibility, […]

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Artificial intelligence can Predict Premature Death

AI

Computers which are capable of teaching themselves to predict premature death could greatly improve preventative healthcare in the future, suggests a new study by experts at the University of Nottingham. The team of healthcare data scientists and doctors have developed and tested a system of computer-based ‘machine learning’ algorithms to predict the risk of early […]

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