The preservation of ophthalmic solutions with antibacterial combinations
Journal of Pharmacy and Pharmacology, 1971 Abstract Solutions of pilocarpine, atropine and physostigmine preserved with benzalkonium, chlorhexidine, phenylmercuric nitrate (PMN), chlorocresol and chlorbutol in simple solution and in combination with either phenylethanol or disodium edetate (EDTA), were contaminated on two separate occasions with high inocula of P.
R. M. E. Richards, R. J. Mcbride
openaire +4 more sources
Towards Robotic Eye Surgery: Marker-free, Online Hand-eye Calibration using Optical Coherence Tomography Images [PDF]
, 2018 Ophthalmic microsurgery is known to be a challenging operation, which requires very precise and dexterous manipulation. Image guided robot-assisted surgery (RAS) is a promising solution that brings significant improvements in outcomes and reduces the physical limitations of human surgeons.
arxiv +1 more source
Clinical Ophthalmology, 2013 Purpose To evaluate the safety and efficacy of ophthalmic MIM-D3, a tyrosine kinase TrkA receptor agonist, in patients with dry eye. Design A prospective, two-center, randomized, double-masked, placebo-controlled Phase 2 study. Methods A total of 150 dry
K. Meerovitch +6 more
semanticscholar +1 more source
Machine Learning for Cataract Classification and Grading on Ophthalmic Imaging Modalities: A Survey [PDF]
Machine Intelligence Research,2022, 2020 Cataracts are the leading cause of visual impairment and blindness globally. Over the years, researchers have achieved significant progress in developing state-of-the-art machine learning techniques for automatic cataract classification and grading, aiming to prevent cataracts early and improve clinicians' diagnosis efficiency.
arxiv
Uni4Eye: Unified 2D and 3D Self-supervised Pre-training via Masked Image Modeling Transformer for Ophthalmic Image Classification [PDF]
arXiv, 2022 A large-scale labeled dataset is a key factor for the success of supervised deep learning in computer vision. However, a limited number of annotated data is very common, especially in ophthalmic image analysis, since manual annotation is time-consuming and labor-intensive.
arxiv
OphGLM: Training an Ophthalmology Large Language-and-Vision Assistant based on Instructions and Dialogue [PDF]
arXiv, 2023 Large multimodal language models (LMMs) have achieved significant success in general domains. However, due to the significant differences between medical images and text and general web content, the performance of LMMs in medical scenarios is limited.
arxiv
British Journal of Ophthalmology, 2012 Aims To compare the efficacy and safety of 3% diquafosol ophthalmic solution with those of 0.1% sodium hyaluronate ophthalmic solution in dry eye patients, using mean changes in fluorescein and rose bengal staining scores as endpoints.
E. Takamura +3 more
semanticscholar +1 more source
Cross-modal Clinical Graph Transformer for Ophthalmic Report Generation [PDF]
arXiv, 2022 Automatic generation of ophthalmic reports using data-driven neural networks has great potential in clinical practice. When writing a report, ophthalmologists make inferences with prior clinical knowledge. This knowledge has been neglected in prior medical report generation methods. To endow models with the capability of incorporating expert knowledge,
arxiv
Correction to: In Vivo Pharmacokinetics of Bromfenac Ophthalmic Solution 0.075%, Bromfenac Ophthalmic Solution 0.07%, and Nepafenac/Amfenac Ophthalmic Suspension 0.3% in Rabbits [PDF]
Ophthalmology and Therapy, 2019 In the original publication, units were incorrectly published in the results section as micrograms (µg/mL).
John D. Sheppard +3 more
openaire +3 more sources
Toward a Surgeon-in-the-Loop Ophthalmic Robotic Apprentice using Reinforcement and Imitation Learning [PDF]
arXiv, 2023 Robot-assisted surgical systems have demonstrated significant potential in enhancing surgical precision and minimizing human errors. However, existing systems cannot accommodate individual surgeons' unique preferences and requirements. Additionally, they primarily focus on general surgeries (e.g., laparoscopy) and are unsuitable for highly precise ...
arxiv