Clinical Research Directory

Effectiveness of a Large Language Model-Based Educational Tool on Intraocular Lens Options

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.

The Impact of Physiologic Cataract Surgery on Patient Comfort and Medication Usage

The study will pertain to investigating the impact of high vs low IOP on the intraoperative experience and comfort for the patient and surgeon. Our hypothesis is that operating at a more physiological IOP using Unity VCS/CS and Centurion with Active Sentry at a higher, or more traditional IOP will result in significantly less discomfort/pain as assessed by the decreased need for rescue medication and lower VAS scores.

Evaluation of TMS Visual Outcome

The goal of this clinical trial is to learn if transcranial magnetic stimulation (TMS) can improve the visual outcomes in patients after cataract surgery. The main question it aims to answer is: • Does TMS improve the visual outcome in patients after cataract surgery? Researchers will compare TMS to the sham-controlled treatment (exposure to recorded sounds of pulses without real magnetic stimulation) to see if TMS works to improve the visual outcomes of patients after cataract surgery. Participants will * Undergo TMS treatment or a sham-controlled treatment for consecutive 5 days. * Visit the clinic once every 2 weeks for checkups and tests.