Best Gemini prompts for Ophthalmologists, Except Pediatric

Given a dataset of 500 patients who underwent LASIK surgery, with variables including pre-operative and post-operative visual acuity measurements, age, and surgical technique used, develop a regression model to predict post-operative visual acuity outcomes based on these factors, and generate a report detailing the coefficients of the model, R-squared value, and a scatter plot of predicted vs actual outcomes, using Google BigQuery for data manipulation and Google Data Studio for visualization, and assuming a significance level of 0.05 for all statistical tests.

Create a Google Apps Script that automates the process of sending follow-up emails to patients who are due for a post-operative check-up, based on data stored in a Google Sheets database, and using a template email that includes the patient's name, date of surgery, and scheduled follow-up appointment time, and also updates the patient's status in the database to 'follow-up sent' once the email is sent, and assuming a 2-week follow-up period for all patients.

Using a dataset of 1000 patients with retinal detachment risk factors, including age, family history, and previous ocular trauma, develop a decision tree model to identify high-risk patients, and generate a report detailing the accuracy, precision, and recall of the model, and using Google Cloud AI Platform for model development and Google Cloud Storage for data storage, and assuming a threshold of 0.8 for high-risk patient identification.

Given a dataset of 200 patient appointments, with variables including appointment type, duration, and physician availability, develop a linear programming model to optimize clinic scheduling, minimizing wait times and reducing overtime, and generate a report detailing the optimized schedule, including appointment times and physician assignments, and using Google OR-Tools for optimization and Google Calendar for scheduling, and assuming a 15-minute buffer between appointments.