Results 81 to 90 of about 30,520,612 (308)

Artificial Intelligence–Based Online Symptom Assessment Tools for Systemic Lupus Erythematosus Diagnosis: Patient Perspectives

Arthritis Care &Research, EarlyView.
Objective The objective of this article is to identify perceptions of patients with systemic lupus erythematosus (SLE) regarding artificial intelligence (AI)–based online symptom assessment tools, and the potential of these tools to address diagnostic barriers.
Olivia A. Stein, Jennifer L. F. Lee, Evelyne Vinet, Arielle Mendel, Christian A. Pineau, Fares Kalache, Louis‐Pierre Grenier, Sasha Bernatsky   +7 more
wiley   +1 more source

H–trace: a fine–grained access control and traceability framework for medical data sharing based on administrative hierarchies

Journal of King Saud University: Computer and Information Sciences
The rapid digitalization of healthcare is driving medical data sharing across hospitals, departments, regional centers, and health authorities. In such cross-domain settings, secure sharing requires fine-grained authorization, chain-confirmed revocation,
Wanbin Liu, Ye Lu, Wenyi Chang, Jiayi Dong, Zhiqiang Zhang   +4 more
doaj   +1 more source

Time-evolving data science and artificial intelligence for Advanced Open Environmental Science (TAIAO) programme

New Zealand's unique ecosystems face increasing threats from climate change, impacting biodiversity and posing challenges to safety, livelihoods, and well-being.
Graffeuille, Olivier, Vetrova, Varvara, Pfahringer, Bernhard, Koh, Yun Sing, Mourot, Phil, Murilo Gomes, Heitor, Bifet, Albert, Bryan, Karin R., Cassales, Guilherme, Ning, Ding, Lim, Nick Jin Sean   +10 more
core   +1 more source

UMaine Artificial Intelligence Webinar [PDF]

, 2020
Introduction by University of Maine Vice President Ali Abedi and opening remarks by President Joan Ferrini-Mundy. (4:00) Advances in Artificial Intelligence – Moderator: Terry Yoo, Associate Professor of Computer Science, UMaine (5:25) Roy Turner ...
University of Maine Artificial Intelligence
core  

Robust Controllability in Temporal Constraint Networks under Uncertainty [PDF]

, 2006
10.1109/ICTAI.2006.100Proceedings - International Conference on Tools with Artificial Intelligence, ICTAI288 ...
YAP, Roland H. C., Lau, H.C., Yap, R.H.C., Jia Li, Roland Yap, Hoong Lau, LAU, Hoong Chuin, LI, Jia, Li, J.   +8 more
core   +1 more source

Engagement Patterns With an Artificial Intelligence Health Coach for Systemic Sclerosis Self‐Management: A Mixed Methods Study

Arthritis Care &Research, EarlyView.
Objective To evaluate utility of an artificial intelligence (AI) health coach for systemic sclerosis (SSc) self‐management and identify patterns associated with participant engagement. Methods We conducted a mixed methods study in which an AI health coach, powered by a large language model (LLM), was used to support self‐management for SSc.
Nirali Shah, Melanie Morris, Cristina Daraban, Sophia Johnson, Susan L. Murphy   +4 more
wiley   +1 more source

GFRNet: Rethinking the global contexts extraction in medical images segmentation through matrix factorization and self‐attention

IET Computer Vision
Due to the large fluctuations of the boundaries and internal variations of the lesion regions in medical image segmentation, current methods may have difficulty capturing sufficient global contexts effectively to deal with these inherent challenges ...
Lifang Chen, Shanglai Wang, Li Wan, Jianghu Su, Shunfeng Wang   +4 more
doaj   +1 more source

Factors Associated With Fibromyalgia Diagnosis Among People Meeting Criteria: Results From UK Biobank

Arthritis Care &Research, EarlyView.
Objective The diagnosis of fibromyalgia (FM) is challenging due to the absence of definitive biomarkers, numerous overlapping comorbidities, and its reliance on patient‐reported symptoms. Discrepancies between diagnostic criteria and clinical practice imply the possibility of diagnostic biases, complicating timely and accurate identification.
Sung‐A Kim, Gary J. Macfarlane, Marcus J. Beasley   +2 more
wiley   +1 more source

Clinical Validation of Artificial Intelligence (AI)‐based Cartilage Segmentation Predicting Knee Replacement

Arthritis Care &Research, Accepted Article.
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, David J. Hunter, C. Kent Kwoh, Wolfgang Wirth   +3 more
wiley   +1 more source

Beyond Visual Scoring: Computational Computed Tomography Analysis for High‐Resolution Computed Tomography–Based Quantification of Interstitial Lung Disease in Inflammatory Rheumatic Disease

Arthritis Care &Research, EarlyView.
Interstitial lung disease (ILD) is a significant cause of morbidity and mortality in patients with inflammatory rheumatic disorders (IRDs). High‐resolution computed tomography (HRCT) is widely considered the gold standard for the noninvasive assessment of ILD; however, its interpretation is constrained by substantial interobserver variability and the ...
Alexander Pfeil, Tobias Hoffmann, Ulf Teichgräber, Diane Renz, Denise Beckmann, Gunter Wolf, Nicole Schadewaldt, Bianca Lassen‐Schmidt   +7 more
wiley   +1 more source