Loading clinical trials...
Loading clinical trials...
Showing 1-3 of 3 trials
NCT07317661
Patients with cataracts disease need to choose what type of artificial lens will go into their eye prior to surgery date. Some lenses are standard and are usually covered by insurance. Other "premium" lenses have various benefits such as reducing the need for glasses but usually require out-of-pocket costs. The combined busy outpatient clinic and complexity of artificial lens choices in the ever-changing world of cataract surgery tends to lead patients confused about their available lens options. There is an abundance of educational material present in premium lenses, however these are limited by accessibility and are standardized at single educational levels. Therefore in the present study, we want to test whether giving patients a short LLM powered AI-guided explanation from Custom GPT from OpenAI of lens options prior to their consultation with their doctor can improve visit efficiency, physician explanation and patient understanding of lens options. We will compare two groups: standard of care versus standard of care plus AI education. The LLM in this study is intended to provide supplemental information about premium intraocular lens(IOLs) options to study participants, and is no means supposed to replace a health care professional in the diagnosis, cure, treatment, and/or mitigation of disease. Study is analogous to giving a verified health pamphlet to a patient for them to view and learn different IOL options, in other words, facilitating patient understanding of their options. The LLM will be trained by several health care professionals and MD specialists to provide sufficient instructions. Sources will include verified online resources and MD information. The investigators hope to learn if a large language model-based educational tool can improve visit efficiency, physician explanation and patient understanding of intraocular lens options. New knowledge of this study could guide how cataract counseling is delivered in the future and may help clinics spend more time on individualized questions instead of repeating generic information.
NCT06985264
The aim of this study is to compare the effects of two different surgical techniques (Orbicularis Oculi excision and Orbicularis Oculi + Fat excision) applied in upper blepharoplasty surgery on dry eye and to evaluate the effects of these techniques on ocular surface health. 142 patients (71 patients in each group) who met the inclusion and exclusion criteria between 01.05.2025 and 31.12.2025 in Mersin City Education and Research Hospital Eye Diseases Clinic will be included in this study. This study is a prospective, survey study and aims to evaluate the effects of two different surgical techniques (Orbicularis Oculi excision only and Orbicularis Oculi + Fat excision) applied in upper blepharoplasty surgery on postoperative dry eye symptoms. The study will be conducted on patients who are currently scheduled for upper blepharoplasty surgery and no additional surgical procedures or interventions will be applied to the patients. Data collection will be done by a survey study and retrospective recording of routine clinical examinations. The collected data will be used to analyze the differences in dry eye parameters between the two surgical techniques. OSDI scores, BUT times, Oxford staining degrees, Schirmer test results and visual acuity values will be compared at pre- and postoperative time points. Differences between groups will be analyzed by one-tailed independent samples t-test and p\<0.05 will be considered significant. These analyses will be performed to determine the effect of surgical techniques on dry eye symptoms.
NCT03913130
Subjects completing participation in study PQ-110-001 (EudraCT 2017-000813-22 / NCT03140969) will be given the opportunity to enroll into the extension study for continued dosing if available data support current and/or future benefits for the subject. Study PQ-110-002 will provide long-term safety, tolerability, pharmacokinetic (PK), and efficacy data of QR-110.