Development of a Web-Based Algorithm for Understanding the Intraocular Lens-Based Surgery in Stable and Progressing Keratoconus for Non-Specialist Ophthalmologists.
Mayank A NanavatyZahra AshenaIngrid Bekono-NessahJennie HardingPublished in: Current eye research (2023)
We present an algorithm as a guide for lens-based surgery in stable and progressing keratoconus, which is classified based on cone location. This algorithm will help trainee and "non-specialist" ophthalmic surgeons understand the pre-operative planning for the surgery and referral to the "specialist" corneal surgeon, considering factors such as progression, BSCVA, keratometry, topography and apex location of the cone in keratoconus patients.
Keyphrases
- minimally invasive
- coronary artery bypass
- palliative care
- machine learning
- end stage renal disease
- deep learning
- surgical site infection
- chronic kidney disease
- primary care
- peritoneal dialysis
- prognostic factors
- percutaneous coronary intervention
- optical coherence tomography
- coronary artery disease
- cataract surgery
- thoracic surgery