Impression materials: does water affect the performance of alginates?

An Eventual Sars-CoV-2 Infection Prevention Protocol in the Medical Setting and Dental Office

The current Coronavirus disease 2019 (COVID-19) pandemic has affected the entire world population, and in particular the medical-health field, especially dentistry [...].

A new software architecture proposal for an evidence-based Decision Support System in dentistry

BACKGROUND

in dentistry, clinical problems could be resolved using many therapeutic approaches that may results in very different therapies. In order to choose the best option, a good evaluation of therapy long-term survival and success rate is mandatory. The routine use of a decision support analysis software is nowadays limited due to the lack of software's flexibility especially when a variety of possible therapeutic option are present. The aim of this research was to develop a new algorithm model for a Decision Support System software to give diagnosis support in dentistry.

METHODS

Beta tests were designed to study the computer software in different clinical situations based on clinical data. The therapeutic options can be conservative/endodontic or extractive/prosthetic therapies. In two of clinical situation selected could be possible to choose both therapies.

RESULTS

in clinical situations tested, the DDS software correctly identified the several therapeutic options. When multiple treatments were possible the beta test showed an output mask that correctly showed a range of options with their corresponding survival and success rate.

CONCLUSIONS

The software architecture proposed by the authors is technically feasible, can support the clinician choices based on scientific evidence and up-to-date references and gain informed consent based on data easily understandable for the patient.