来自伦敦大学皇后玛丽学院的研究人员开发了一种AI工具，能够生成合成的但在医学上准确的纤维化心脏组织模型（心脏疤痕），以帮助为心房颤动（AF）患者的治疗规划。这项研究发表在《心血管医学前沿》上，可能会导致针对这一常见心律失常的患者提供更个性化的护理。

Jackson-Madison County General Hospital now offers a new therapy to treat patients with advanced atrial fibrillation, who ...

One of AI’s most immediate impacts is in screening and identifying patients who may have asymptomatic or paroxysmal AF, those ...

The number one cause of death in Korea is still malignant neoplasms (cancer), followed by cerebrovascular disease and heart ...

The global atrial fibrillation market is projected to witness robust growth over the next decade. In 2023, the market generated a substantial revenue of US$ 3,505.7 million and is estimated to achieve ...

Dr. Ratika Parkash, MD, FRCPC, Cardiologist, discusses how stroke prevention with anticoagulant treatment is important in ...

Finerenone prevented new-onset atrial fibrillation or flutter in patients with chronic kidney disease and type 2 diabetes or ...

Currently assessed through specialized MRI scans (LGE-MRI), the pattern and distribution of this scarring significantly influences treatment outcomes. Atrial fibrillation is frequently treated ...

Researchers from Queen Mary University of London have developed an AI tool that creates synthetic yet medically accurate models of fibrotic heart tissue (heart scarring), aiding treatment planning for ...

Dr. Brett Gidney and his team celebrated with a cake and balloons. (Courtesy photo) Marian Regional Medical Center has successfully completed its 500th ...

A novel diffusion model generates synthetic atrial fibrosis images to augment data for deep learning, improving prediction of ...