Results 191 to 200 of about 25,543,489 (343)
Objective For cartilage morphology to serve as a scalable endpoint in clinical trials, analyses should be performed automatically without human interaction. To clinically validate artificial intelligence (AI)‐based analysis, we studied cartilage loss from MRI prior to knee replacement.
Felix Eckstein +3 more
wiley +1 more source
Toward owner governance in genomic data privacy with Governome. [PDF]
Zhang J +8 more
europepmc +1 more source
Facial Cosmetic Therapy Use Among Patients With Systemic Sclerosis: An Australian Cohort Study
Objective Systemic sclerosis (SSc) is associated with numerous facial manifestations for which patients may engage in cosmetic therapies. It is unclear how patients with SSc use these therapies. This study sought to characterize patient engagement and experiences with cosmetic therapies for SSc‐related and non‐SSc–related facial changes.
Zachary Warren +11 more
wiley +1 more source
Deep learning enabled pseudonymization for preserving data privacy of financial identifiers in public documents in India. [PDF]
Roopalakshmi R, Kailas S, Sreelatha R.
europepmc +1 more source
Objective Reproductive‐age women with systemic autoimmune and rheumatic diseases (SARDs) have unique information needs related to their SARDs and reproductive health. We sought to understand their use of and receptivity to current and hypothetical generative artificial intelligence (AI) tools for health information‐seeking. Methods We conducted a cross‐
Mariam Arif +5 more
wiley +1 more source
A data privacy protection method for infectious disease prediction models with balanced training speed and accuracy. [PDF]
Wang X +9 more
europepmc +1 more source
Generative artificial intelligence (AI) is increasingly being used in rheumatology practice, to assist with tasks such as documentation, record summarization, and clinical decision support. Rheumatologists need a practical approach to determining what evidence and oversight each application requires.
Koushan Kouranloo +2 more
wiley +1 more source
Artificial intelligence for early endometrial cancer diagnosis using multimodal clinical data: integrating deep learning, explainability, and data privacy. [PDF]
Dash S +6 more
europepmc +1 more source

