MedStar Georgetown Washington Hospital Center: Leen Al Saleh, MD; Ajita Acharya, MD; Elena Obreja, MD; & Akrithi U. Garren, MD |
Research has found dual-energy computed tomography (DECT) may be a non-invasive and cost-effective option to help rheumatologists more accurately diagnose gout.
Cleveland Clinic Foundation Rheumatology Fellowship Program: Saja Almaaitah, MD; Shashank Cheemalavagu, MD; Rupal Shastri, MD; Perry Fuchs, MD; Melany Gonzalez Orta, MD; & James Vondenberg, DO |
As the capabilities of machine learning and artificial intelligence improve, rheumatologists have access to more data than ever, which may enable them to better predict which patients will respond to specific treatments, such as tumor necrosis factor inhibitors.
As the novel coronavirus that causes COVID-19 spreads across the globe, innovative thinking is needed more than ever to counter the devastating effects on the physical and socioeconomic health of individuals and communities. Innovations in healthcare delivery not yet fully realized prior to the pandemic, such as the adoption of telehealth, are moving to the…
Can machine learning aid clinicians in diagnosing systemic lupus erythematosus? Adamichou et al. designed an algorithm that uses classical features of lupus to simulate medical reasoning and identify lupus early in the disease process. They were able to validate the algorithm, which demonstrated high sensitivity, specificity and accuracy.
Advancements in technology and artificial intelligence designed to aid rheumatologists in diagnosing patients and predicting mortality risk were discussed in depth during a session of the European e-Congress of Rheumatology.
ATLANTA—With more than 3,000 abstracts from 103 countries presented at the 2019 ACR/ARP Annual Meeting in November, it was impossible for attendees to view them all. However, two ACR/ARP veterans—Arthur Kavanaugh, MD, from the University of California, San Diego, and John Cush, MD, from UT Southwestern Medical School, Dallas—chose to tackle the nearly impossible task and…
Brain imaging can distinguish fibromyalgia patients from healthy controls with high sensitivity and specificity, according to two papers published nearly simultaneously in Pain late last summer, by groups at the Universities of Colorado and Michigan, respectively. Somewhat surprisingly to the authors and others, in the Colorado study, which used both painful and nonpainful stimuli, the…