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Articles tagged with "machine learning"

Another Way: RheumMadness 2022 DECT in Gout Scouting Report

MedStar Georgetown Washington Hospital Center: Leen Al Saleh, MD; Ajita Acharya, MD; Elena Obreja, MD; & Akrithi U. Garren, MD  |  February 14, 2022

Research has found dual-energy computed tomography (DECT) may be a non-invasive and cost-effective option to help rheumatologists more accurately diagnose gout.

Beyond Trial & Error: RheumMadness 2022 AI: TNFi Response Scouting Report

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  |  February 14, 2022

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.

TrifonenkoIvan / shutterstock.com

Artificial Intelligence Gives Rheumatologists an Assist

Mary Beth Nierengarten  |  June 14, 2021

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…

Lupus or Not? Machine Learning May Help Diagnose Lupus Early

Lara C. Pullen, PhD  |  May 19, 2021

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.

Artificial Intelligence in Medicine: The Future Is Now

Jason Liebowitz, MD, FACR  |  August 26, 2020

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.

Key Studies Highlighted: 2 Industry Veterans Discuss Their Favorite Annual Meeting Abstracts

Mike Fillon  |  March 19, 2020

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…

Mark Harmel / Science Source

fMRI Can Help Diagnose Fibromyalgia

David C. Holzman  |  March 20, 2017

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…

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