Automated Classification of Physiologic, Glaucomatous, and Glaucoma-Suspected Optic Discs Using Machine Learning.

In order to generate a machine learning algorithm (MLA) that can support ophthalmologists with the diagnosis of glaucoma, a carefully selected dataset that is based on clinically confirmed glaucoma patients as well as borderline cases (e.g., patients with suspected glaucoma) is required.

Evaluation of alumina toughened zirconia implants with a sintered, moderately rough surface: An experiment in the rat.

Objective: Alumina toughened zirconia (ATZ) is more fracture resistant than unmodified zirconia and has been shown to be a viable substrate for the growth of osteoblasts. In this study, we examined the histological and biomechanical behavior of moderately roughened ATZ implants in rat femoral bone.

Methods: Miniature implants made of ATZ with pore-building polymers sintered onto the surface and electrochemically anodized titanium (TiUnite®) were placed into the femurs of Sprague-Dawley rats.

Osteoblast and bone tissue response to surface modified zirconia and titanium implant materials.

Objective: This study examined the in vitro and in vivo response of osteoblasts to a novel, acid-etched and sandblasted zirconia surface.

Methods: Osteoblastic hFOB 1.19 cells were cultured either on electrochemically anodized titanium (TiUnite(®)), machined titanium (Ti-m), sandblasted and acid-etched zirconia (TZP-proc), and machined zirconia (TZP-A-m).