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Exploring the potential of augmented reality in rehabilitation: a novel approach for post-stroke unilateral neglect.

Unilateral neglect affects up to 80% of right hemisphere stroke survivors and poses a significant barrier to rehabilitation. It is a strong predictor of poor prognosis and leads to prolonged hospital stays, yet no established treatment currently exists.
www.ncbi.nlm.nih.gov

Apps for people with vision impairment: an international review of practitioner suggestions and app availability.

Assistive smartphone apps play an integral role in supporting people with vision impairment (VI). Low vision rehabilitation (LVR) professionals need an understanding of these tools to provide effective, up-to-date guidance to help patients identify options that can improve daily functioning.
www.ncbi.nlm.nih.gov

Clinical Integration of Artificial Intelligence and Mixed Reality-Based Dynamic Navigation for Implant Placement in the Anterior Maxilla.

To report the first clinical application of an integrated workflow combining artificial intelligence (AI) with mixed reality-based dynamic navigation (MR-DN) for guided dental implant placement in the anterior maxilla.
www.ncbi.nlm.nih.gov

Comparative agreement among traditional, digital, and experimental AI-based shade selection methods in dentistry: A clinical study.

Shade selection remains subjective, but digital shade selection methods and applications promise more consistent and objective results. However, consensus on which method provides the best agreement and consistency is lacking.
www.ncbi.nlm.nih.gov

Efficacy of Artificial Intelligence-Assisted Appliances in the Selection of Tooth Shade: Protocol for an Observational Study.

Accurate shade matching in dentistry is crucial for achieving aesthetic outcomes, with increasing patient expectations driving advancements in shade selection technologies. Color perception is influenced by multiple factors such as incident light, reflection, absorption, observer variability, and environmental conditions. The evolution of shade-matching tools now includes digital and artificial intelligence (Al)-assisted appliances aimed at improving accuracy and ease of use.
www.ncbi.nlm.nih.gov
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