Home > Riviste > Minerva Dental and Oral Science > Fascicoli precedenti > Minerva Dental and Oral Science 2021 February;70(1) > Minerva Dental and Oral Science 2021 February;70(1):7-14



Opzioni di pubblicazione
Per abbonarsi
Sottometti un articolo
Segnala alla tua biblioteca


Publication history
Per citare questo articolo



Minerva Dental and Oral Science 2021 February;70(1):7-14

DOI: 10.23736/S2724-6329.20.04416-7


lingua: Inglese

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

Giuseppe LO GIUDICE 1 , Angelo S. LIZIO 1, Roberto LO GIUDICE 2

1 Department of Biomedical and Dental Sciences and Morphofunctional Imaging, G. Martino University Hospital, University of Messina, Messina, Italy; 2 Department of Clinical and Experimental Medicine, University of Messina, Messina, Italy

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.

KEY WORDS: Software; Dental caries; Prostheses and implants; Preventive dentistry

inizio pagina