Machine learning for identification of dental implant systems based on shape - A descriptive study.

Aim: To evaluate the efficacy of machine learning in identification of dental implant systems from panoramic radiographs based on the shape.

Settings And Design: In vitro-Descriptive study.

Materials And Methods: A Dataset of digital panoramic radiographs of three dental implant systems were obtained.

Evaluation of Antibacterial Effect and Dimensional Stability of Self-disinfecting Irreversible Hydrocolloid: An in vitro Study.

Aim: This study evaluated the antibacterial activity and dimensional stability of irreversible hydrocolloids mixed with different concentrations of chlorhexidine gluconate instead of water.

Materials And Methods: Experimental specimens (45 specimens) were prepared and allocated into three groups of 15 each. Group I: Impression material mixed with distilled water served as control.