Big data serves as the cornerstone for constructing real-world deep learning systems across various domains. In medicine and healthcare, a single clinical site lacks sufficient data, thus necessitating the involvement of multiple sites. Unfortunately,…
Continue Reading
By Shania Kennedy
October 25, 2023 – Researchers from the Smidt Heart Institute at Cedars-Sinai demonstrated that a deep learning (DL) algorithm can accurately detect signs of atrial fibrillation in patients without symptoms, according to a…
Continue Reading
DeepTek.ai has achieved FDA clearance for its pioneering Chest X-ray AI solution, the CXR Analyzer, marking a significant milestone. This advanced technology employs deep learning algorithms to automatically detect and categorize abnormalities in chest…
Continue Reading
Image quality variation is a prominent cause of performance degradation for intelligent disease diagnostic models in clinical applications. Image quality issues are particularly prominent in infantile fundus photography due to poor patient cooperation, which…
Continue Reading
Congenital malformations of the central nervous system are among the most common major congenital malformations. Deep learning systems have come to the fore in prenatal diagnosis of congenital malformation, but the impact of deep…
Continue Reading
Preterm birth (PTB) is the leading cause of infant mortality globally. Research has focused on developing predictive models for PTB without prioritizing cost-effective interventions. Physical activity and sleep present unique opportunities for interventions in…
Continue Reading
Skin diseases affect one-third of the global population, posing a major healthcare burden. Deep learning may optimise healthcare workflows through processing skin images via neural networks to make predictions. A focus of deep learning…
Continue Reading
By Shania Kennedy
September 19, 2023 – Machine learning (ML) may help define personalized temperature norms and improve the clinical utility of oral temperature measurements, according to a study published this month in JAMA Internal Medicine.
Oral…
The University of Houston has secured a $3 million NIH grant to develop an AI tool for accurately classifying lupus nephritis (LN) from histopathology data, addressing the imprecision of traditional methods. Led by Chandra…
Continue Reading
The electrocardiogram (ECG) is the most frequently performed cardiovascular diagnostic test, but it is unclear how much information resting ECGs contain about long term cardiovascular risk. Here we report that a deep convolutional neural…
Continue Reading
