The child’s heart failed unexpectedly, and while keeping her alive, her kidneys faded. The hope for her survival came down to SC’s first pediatric heart-kidney transplant.

Traditional chest X-ray analysis relies on physician experience, which can lead to subjectivity and misdiagnosis. To address this, we propose a novel pneumonia diagnosis method using the Fast-YOLO ...

Background Chest CT displays chest pathology better than chest X-ray (CXR). We evaluated the effects on health outcomes of replacing CXR by ultra-low-dose chest-CT (ULDCT) in the diagnostic work-up of ...

Swelling and palpitations are among the symptoms that could signal deadly Myocarditis, a condition unknown to most that golf ...

Background: Hypertrophic cardiomyopathy (HCM) is a complex disease partly explained by the effects of individual gene variants on sarcomeric protein biomechanics. At the cellular level, HCM mutations ...

ASU researchers launch Ark+, an open-source AI chest X-ray tool that outperforms tech giants like Google and Microsoft.

In our study, we show that standard AI deep learning models can be trained to predict race from medical images with high performance across multiple imaging modalities, which was sustained under ...

Despite the impressive performance of current deep learning models in the field of medical imaging, transferring the lung segmentation task in X-ray images to clinical practice is still a pending task ...

Mr Leatherland, from Market Harborough, was referred to hospital for a chest X-ray when his symptoms began, followed by further investigations that led to his devastating diagnosis.

Evaluation of the impact of artificial intelligence-assisted image interpretation on the diagnostic performance of clinicians in identifying pneumothoraces on plain chest X-ray: a multi-case ...

Chagas cardiomyopathy is the most important clinical manifestation of Chagas disease, resulting in the majority of Chagas morbidity and mortality. 134 Although generally classified as having a ...

Chest X-rays are performed far more frequently—often 100 times more—than abdominal ultrasounds in many healthcare settings. Integrating the AI model into existing radiology workflows could allow ...