Results 151 to 160 of about 530,744 (354)
Monovision LASIK in emmetropic presbyopic patients. [PDF]
BackgroundTo evaluate the efficacy and patient satisfaction of laser in situ keratomileusis (LASIK) monovision correction in presbyopic emmetropic patients.MethodsA retrospective review of 294 patients who underwent LASIK for monovision was conducted ...
Hannan, Stephen+4 more
core
A common issue in clinical drug development involves drug–drug interactions (DDI) that may lead to altered drug exposure and subsequent altered safety and efficacy of an investigational drug or concomitant medications (conmeds) in the target patient population.
Alice S. Tang+6 more
wiley +1 more source
Tackling Environmental Impact: A New Support Tool for Sustainable Healthcare Waste Management
ABSTRACT This study proposes a novel framework integrating Environmental Risk Assessment (ERA) and Material Flow Analysis (MFA) within the Deming Cycle framework to address this gap. While valuable tools, ERA and MFA offer limited perspectives on environmental impact when used alone.
Carlotta D'Alessandro+4 more
wiley +1 more source
EyeGPT: Ophthalmic Assistant with Large Language Models [PDF]
Artificial intelligence (AI) has gained significant attention in healthcare consultation due to its potential to improve clinical workflow and enhance medical communication. However, owing to the complex nature of medical information, large language models (LLM) trained with general world knowledge might not possess the capability to tackle medical ...
arxiv
The link of FOXO1 and FOXO4 transcription factors to development of the lens
Abstract Background The FOXOs regulate the transcription of many genes, including ones directly linked to pathways required for lens development. However, this transcription factor family has rarely been studied in the context of development, including the development of the lens.
Rifah N. Gheyas+3 more
wiley +1 more source
EyeFound: A Multimodal Generalist Foundation Model for Ophthalmic Imaging [PDF]
Artificial intelligence (AI) is vital in ophthalmology, tackling tasks like diagnosis, classification, and visual question answering (VQA). However, existing AI models in this domain often require extensive annotation and are task-specific, limiting their clinical utility. While recent developments have brought about foundation models for ophthalmology,
arxiv