The Motor Disorder Society’s Unified Parkinson’s Disease Rating Scale (MDS-UPDRS) is designed to assess bradykinesia, the cardinal symptoms of Parkinson’s disease (PD). However, it cannot capture the all-day variability of bradykinesia outside the clinical…
Continue Reading
Epicardial adipose tissue (EAT) volume and attenuation are associated with cardiovascular risk, but manual annotation is time-consuming. We evaluated whether automated deep learning-based EAT measurements from ungated computed tomography (CT) are associated with death…
Continue Reading
A Crop of New Investors Joins Existing Financiers such as AI Powerhouse NVIDIA
Artisight, Inc., a smart hospital platform powered by industry-defining artificial intelligence to provide virtual care, quality improvement, and care coordination solutions, announced…
The Tsukuba team’s innovative CT-based radiomics deep learning model exhibits an 89% accuracy in predicting lymph node metastasis in nonfunctional pancreatic neuroendocrine tumors (NF-PNETs). Validated with external hospital data, the model maintains a remarkable…
Continue Reading
Sepsis remains a major cause of mortality and morbidity worldwide. Algorithms that assist with the early recognition of sepsis may improve outcomes, but relatively few studies have examined their impact on real-world patient outcomes….
Continue Reading
Small cell lung cancer (SCLC) is a highly aggressive subtype of lung cancer characterized by rapid tumor growth and early metastasis. Accurate prediction of prognosis and therapeutic response is crucial for optimizing treatment strategies…
Continue Reading
A groundbreaking deep learning model has emerged as a beacon of hope in the fight against rheumatic heart disease (RHD) among children. Developed by researchers at Children’s National Hospital, this innovative tool utilizes artificial…
Continue Reading
By Shania Kennedy
January 17, 2024 – Researchers from Children’s National Hospital have developed a deep learning (DL) to detect latent rheumatic heart disease (RHD) in children, which may improve case identification and treatment in low-resource…
Continue Reading
Heather Randall, Ph.D., Chief Compliance Officer, TrustCommerce, a Sphere Company
Artificial intelligence (AI) is earning recognition for its potential benefits to the healthcare sector at large, from its ability to improve care and increase efficiency,…
Continue Reading
AI is reshaping radiology, from early CAD to advanced radiomics. Deep learning enhances diagnostic accuracy, while NLP and LLM revolutionize reporting and patient care. Challenges like standardization and privacy persist, met with solutions like…
Continue Reading
