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Articles tagged with "artificial intelligence"

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Large Language Models in Medicine: The potential to reduce workloads, leverage the EMR for better communication & more

Jacqueline Jansz, MD, & Peter T. Sadelski, JD  |  May 17, 2023

Large language models are a type of AI that allows users to generate new content, drawing from a huge dataset to learn how to mimic “natural language” with many possible beneficial applications for this technology in medicine.

Bharat Kumar, MD

Exploring the Role of Artificial Intelligence in Rheumatology

Bharat Kumar, MD, MME, FACP, FAAAAI, RhMSUS  |  November 4, 2022

I looked at the joints. They spoke back to me—”I need more humanism,” they whispered. To longtime readers, those two sentences may sound both familiar and alien, perhaps even a little humorous. That’s because those sentences were generated entirely by a computer using artificial intelligence (AI). It was simple, too: I just copied the text…

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.

A Possible Diagnostic Tool: RheumMadness 2022 AI: JIA Subtypes Scouting Report

The Children’s Hospital at Montefiore Pediatric Rheumatology Fellowship Program: Alisha Akinsete, MD; Malki Peskin, MD; & Jessica Perfetto, MD  |  February 14, 2022

Machine learning is a tool that may help pediatric rheumatologists distinguish between different subtypes of juvenile idiopathic arthritis (JIA) and predict treatment response.

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…

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.

How Advances in Artificial Intelligence May Aid Rheumatology

Richard Quinn  |  December 19, 2018

From digital scribes to predictive pharmacology—as artificial intelligence advances, technology has a lot to offer medicine. What opportunities lie ahead for rheumatologists and their patients?

Diagnosed by Artificial Intelligence?

Simon M. Helfgott, MD  |  February 16, 2017

“To err is human.” —Alexander Pope (1688–1744) The Wisest Minds in Medicine At some point during our careers, we have the privilege of meeting a physician so talented that everyone else pales in comparison. These are those gifted clinicians whose astonishing mastery of medicine makes everyone in their midst feel like inept, babbling fools. They…

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