White matter hyperintensities (WMHs) on fluid-attenuated inversion recovery (FLAIR) images are imaging features in various neurological diseases and essential markers for clinical impairment and disease progression. WMHs ...
17 hours ago
0
1
Atrial fibrillation is the most common cardiac arrhythmia worldwide with around 59 million people concerned in 2019. This irregular heartbeat is associated with increased risks of heart failure, dementia and stroke. It constitutes ...
18 hours ago
0
32
Researchers at the Beckman Institute for Advanced Science and Technology have developed a new technique to make ultrasound localization microscopy, an emerging diagnostic tool used for high-resolution microvascular imaging, ...
19 hours ago
0
11
Researchers at Helmholtz Munich and the LMU University Hospital Munich introduce DELiVR, offering a new AI-based approach to the complex task of brain cell mapping. The findings are published in the journal Nature Methods.
23 hours ago
0
47
While the adequate surgical treatment of cataract is guaranteed in high-income countries, the surgical results in the Global South are often inadequate. Video recording can be used to analyze possible surgical errors, improve ...
Apr 15, 2024
0
1
Low-cost, wearable sensors could increase access to care for patients with Parkinson's disease. New machine-learning approaches and a baseline of data from healthy older adults improve the accuracy of the results from such ...
Apr 12, 2024
0
0
A new study led by researchers at Stanford Medicine finds that computer algorithms powered by artificial intelligence based on deep learning can help health care practitioners to diagnose skin cancers more accurately. Even ...
Apr 12, 2024
0
21
High intraocular pressure (IOP) is a significant risk factor for glaucoma. Current IOP tests are mostly conducted in hospitals, while portable home tonometers that provide convenient IOP monitoring are expensive and often ...
Apr 3, 2024
0
0
Data science methods can help overcome challenges in measuring and analyzing social determinants of health (SDoH), according to a paper published in The Lancet Digital Health, helping mitigate the root causes of health inequities ...
Mar 27, 2024
0
0
QUT scientists have developed a deep learning framework to detect shoulder abnormalities such as fractures in X-ray images with 99% accuracy to enable clinicians to make correct and speedy decisions in emergency situations.
Mar 25, 2024
0
30
