Results 131 to 140 of about 176,464,163 (313)

Balancing Accuracy and Efficiency: HWBENet for Water Body Extraction in Complex Rural Landscapes

open access: yesRemote Sensing
The accurate and timely extraction of water bodies from high-resolution remote sensing imagery is vital for environmental monitoring, yet segmenting small, scattered, and irregularly shaped water bodies in complex rural landscapes remains a persistent ...
Pengyu Lei, Jiang Zhang, Jizheng Yi
doaj   +1 more source

Generative Artificial Intelligence Utilization and Perspectives Among Reproductive‐Age Women With Systemic Autoimmune and Rheumatic Diseases

open access: yesArthritis Care &Research, EarlyView.
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

MultiRetNet: A Lightweight Explainable AI Approach to Diabetic Retinopathy Grading and DME Detection Using Fundus–OCT Fusion

open access: yesJournal of Imaging
Diabetic retinopathy (DR) and diabetic macular oedema (DME) are two of the most significant preventable contributors to blindness in the adult population worldwide, yet current automated screening systems typically address each condition in isolation and
Saad Islam   +4 more
doaj   +1 more source

Deep model reuse : paving the way for efficient and generalizable AI systems

open access: yes
The 40th AAAI Conference on Artificial Intelligence, January 20-27, 2026, Singapore202606 bcchVersion of RecordOthersPolyU (UGC)PublishedVoR ...
Yang, X
core   +1 more source

The Association of Gout Flare Resolution With Physical Activity and Sleep: A Prospective Remote‐Monitoring Study

open access: yesArthritis Care &Research, EarlyView.
Objective This study aimed to determine whether gout flare resolution is associated with physical activity and sleep. These findings were intended to inform the future development of a definition for flare resolution. Methods Data from 81 participants with gout who experienced at least one flare during a six‐month prospective observational study were ...
Sarah Stewart   +12 more
wiley   +1 more source

Taming a Diffusion Model to Revitalize Remote Sensing Image Super-Resolution

open access: yesRemote Sensing
Conventional neural network-based approaches for single remote sensing image super-resolution (SRSISR) have made remarkable progress. However, the super-resolution outputs produced by these methods often fall short in terms of visual quality.
Chao Zhu, Yong Liu, Shan Huang, Fei Wang
doaj   +1 more source

Generative Artificial Intelligence in Clinical Practice: How Should Rheumatologists Evaluate and Monitor Emerging Tools?

open access: yesArthritis Care &Research, EarlyView.
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

BPI-GNN: Interpretable brain network-based psychiatric diagnosis and subtyping

open access: yesNeuroImage
Converging evidence increasingly suggests that psychiatric disorders, such as major depressive disorder (MDD) and autism spectrum disorder (ASD), are not unitary diseases, but rather heterogeneous syndromes that involve diverse, co-occurring symptoms and
Kaizhong Zheng   +4 more
doaj   +1 more source

Exploring Artificial Intelligence Through Image Recognition

open access: yes, 2017
This demonstration showcases the different use cases of Artificial Intelligence (AI) in education by introducing students to applications of the Scribbler robot with the Fluke board in order to cultivate an interest in programming, robotics, and AI.
Staruk, Elizabeth   +7 more
core   +1 more source

Artificial Intelligence‐Driven Extraction of Patient‐Reported Pain Outcomes in Osteoarthritis Using Large Language Models

open access: yesArthritis Care &Research, Accepted Article.
Objective Patient‐reported outcome measures (PROMs) are central to assessing symptom burden and treatment response in Osteoarthritis (OA) but are often embedded in unstructured clinical notes. We evaluated whether prompt‐engineered large language models (LLMs) could accurately extract or infer pain scores on a 0‐10 scale from routine OA clinical ...
Jainesh Doshi   +7 more
wiley   +1 more source

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