Researchers at Penn State are using machine learning and existing electrocardiogram (ECG) data to help doctors make more accurate predictions. A team of artificial intelligence engineers, in ...
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Researchers in the Nanoscience Center at the University of Jyväskylä, Finland, have used machine learning and supercomputer ...
This opportunity makes easier a possible future improvement where the ECG delineation task is assisted by an artificial intelligence model easily integrable in the Python environment provided by the ...
Machine learning is the ability of a machine to improve its performance based on previous results. Machine learning methods enable computers to learn without being explicitly programmed and have ...
Multi-sequence knee magnetic resonance imaging (MRI) is an advanced non-invasive diagnostic method for knee pathology. However, MRI interpretation is highly time-consuming and heavily dependent on ...
Read the article and post your comments and questions for Emily Anthes by Dec. 5. By The Learning Network Last month, the 2024 Nobel Peace Prize was awarded to a collective of Japanese atomic bomb ...
The new smart contract platform dismantles longstanding development issues by introducing a scalable, easy-to-use solution ...
IIT Indore has developed a secure technology for ECG machines and pacemakers, preventing counterfeit chips and enhancing reliability. This patented development, led by Professor Anirban Sengupta, ...
In any case we as analysts need to employ machine learning algorithms to enhance the sensitivity ... Contact Dr Marcella Bona <m.bona@qmul.ac.uk> for any inquiry. This project is only available to ...
Indore, Nov 20 (PTI) The Indian Institute of Technology (IIT) Indore has developed a technology to enhance the safety of electrocardiogram (ECG) machines and pacemakers used in the treatment of heart ...