{"id":49205,"date":"2024-07-12T10:54:31","date_gmt":"2024-07-12T09:54:31","guid":{"rendered":"https:\/\/www.innovationnewsnetwork.com\/?p=49205"},"modified":"2024-07-12T10:54:31","modified_gmt":"2024-07-12T09:54:31","slug":"ai-enhances-analysis-of-heart-scans-saving-nhs-resources","status":"publish","type":"post","link":"https:\/\/www.innovationnewsnetwork.com\/ai-enhances-analysis-of-heart-scans-saving-nhs-resources\/49205\/","title":{"rendered":"AI enhances analysis of heart scans, saving NHS resources"},"content":{"rendered":"

Researchers have developed a groundbreaking AI method that improves the accuracy and efficiency of analysing MRI heart scans.<\/h2>\n

Developed by experts from the Universities of East Anglia (UEA), Sheffield and Leeds, the AI model analyses heart scans in a specific view known as the four-chamber plane.<\/p>\n

This innovative method could provide faster, non-invasive and more accurate diagnosis of heart failure and other cardiac conditions, saving the NHS valuable time and resources.<\/p>\n

Testing the AI model<\/h3>\n

The team performed a retrospective observational study<\/a> using data from 814 patients at Sheffield and Leeds Teaching Hospitals to train an AI model.<\/p>\n

To ensure accuracy, the model was tested using scans and data from 101 patients at Norfolk and Norwich University Hospitals.<\/p>\n

This AI model<\/a> stands out because it was trained using data from multiple hospitals and various scanner types and tested on a diverse patient group.<\/p>\n

Unlike previous studies that focused on the heart’s two main chambers, this model provides a complete analysis of the entire heart, showing all four chambers.<\/p>\n

Advancing the analysis of MRI heart scans<\/h3>\n

The study revealed that the novel AI method was comparable to the manual analysis traditionally performed by doctors and could lead to better treatment outcomes for patients.<\/p>\n

Dr Pankaj Garg, leader of the research from the University of East Anglia’s Norwich Medical School, explained: “The AI model precisely determined the size and function of the heart’s chambers and demonstrated outcomes comparable to those acquired by doctors manually but much quicker.<\/p>\n

“Unlike a standard manual MRI analysis, which can take up to 45 minutes or more, the new AI model takes just a few seconds.<\/p>\n

“This automated technique could offer speedy and dependable evaluations of heart health, with the potential to enhance patient care.”<\/p>\n

The researchers recommend that future studies should test the model with larger patient groups from different hospitals.<\/p>\n

These studies should use various types of MRI scanners and include other common diseases seen in medical practice to determine if the model performs well in a broader range of real-world situations.<\/p>\n","protected":false},"excerpt":{"rendered":"

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