Digital health technologies: opportunities and challenges in rheumatology

DH Solomon, RS Rudin - Nature Reviews Rheumatology, 2020 - nature.com
The past decade in rheumatology has seen tremendous innovation in digital health
technologies, including the electronic health record, virtual visits, mobile health, wearable …

Aromatase inhibitors—induced musculoskeletal disorders: current knowledge on clinical and molecular aspects

S Tenti, P Correale, S Cheleschi, A Fioravanti… - International Journal of …, 2020 - mdpi.com
Aromatase inhibitors (AIs) have radically changed the prognosis of hormone receptor
positive breast cancer (BC) in post-menopausal women, and are a mainstay of the adjuvant …

Use of machine learning in osteoarthritis research: a systematic literature review

M Binvignat, V Pedoia, AJ Butte, K Louati… - Rmd Open, 2022 - rmdopen.bmj.com
Objective The aim of this systematic literature review was to provide a comprehensive and
exhaustive overview of the use of machine learning (ML) in the clinical care of osteoarthritis …

[HTML][HTML] COVID-19 and systemic lupus erythematosus: a case series

Y Gartshteyn, AD Askanase, NM Schmidt… - The Lancet …, 2020 - ncbi.nlm.nih.gov
The COVID-19 pandemic has spread across New York City, NY, USA, affecting more than
150 000 of its 8· 5 million inhabitants as of April 26, 2020. 1 Severe illness resulting in …

Digital health, big data and smart technologies for the care of patients with systemic autoimmune diseases: where do we stand?

H Bergier, L Duron, C Sordet, L Kawka… - Autoimmunity …, 2021 - Elsevier
The past decade has seen tremendous development in digital health, including in innovative
new technologies such as Electronic Health Records, telemedicine, virtual visits, wearable …

[HTML][HTML] Understanding the role and adoption of artificial intelligence techniques in rheumatology research: an in-depth review of the literature

A Madrid-García, B Merino-Barbancho… - Seminars in Arthritis and …, 2023 - Elsevier
The major and upward trend in the number of published research related to rheumatic and
musculoskeletal diseases, in which artificial intelligence plays a key role, has exhibited the …

Applying precision medicine to unmet clinical needs in psoriatic disease

DR Jadon, C Stober, SR Pennington… - Nature Reviews …, 2020 - nature.com
Psoriatic disease (PsD) is a heterogeneous condition that can affect peripheral and axial
joints (arthritis), entheses, skin (psoriasis) and other structures. Over the past decade …

The challenges of telemedicine in rheumatology

Y Song, L Bernard, C Jorgensen, G Dusfour… - Frontiers in …, 2021 - frontiersin.org
During the past 20 years, the development of telemedicine has accelerated due to the rapid
advancement and implementation of more sophisticated connected technologies. In …

Machine learning approaches to improve disease management of patients with rheumatoid arthritis: review and future directions

J Kedra, T Davergne, B Braithwaite… - Expert Review of …, 2021 - Taylor & Francis
Introduction Although the management of rheumatoid arthritis (RA) has improved in major
way over the last decades, this disease still leads to an important burden for patients and …

Machine learning in rheumatology approaches the clinic

A Pandit, TRDJ Radstake - Nature Reviews Rheumatology, 2020 - nature.com
Machine learning and high-throughput technologies hold promise for the classification,
diagnosis and treatment of patients with rheumatic diseases, with the ultimate goal of …