The purpose of this study was to assess different periodontitis groups affected with mild, moderate and severe alveolar bone levels and treated using the Sandwich’s procedures. A total of 53 subjects, who had taken two sets of full-mouth standarized paralleling radiographs with mean observation time was 10.18±3.89 years and (ranges: 5.1 to 18.3 years) were collected for the past 20 years. The radiographic alveolar bone levels (RABL) at mesial and distal aspects of teeth were assessed by measuring the distance between cemento-enamel junction (CEJ) and the bone crest using an electronic digimatic caliper (EDC) under 7.5 magnified radiographs. The patients, who presented with SAP, were between 24 and 84 years of age, with a mean age of 54.8±10.2years. Although, the treatment of angular defects in molars with guided tissue regeneration, emdogain has been reported and has exhibited significant and predictable results, however, afforded very limited and less predictable results in the treatment of advanced class II and III maxillary furcation defects. The majority of root resection procedures are commonly recommended for treating advanced molar furcation, in particular located at molars with class III furcation involvement, there is still some controversy regarding the long-term prognosis after different treatment modalities. In general, the root resection procedure is a surgical approach for simultaneously performing a periodontal flap operation at first and followed by the amputation and/or resection of maxillary root(s). There are some complications and disadvantages, such as post-operative pain and bleeding, swelling, infection, etc. The present report is to describe the combination of therapeutic provisional prosthesis (TPP), fixed prosthesis, non-surgical procedure using root separation and/or resection (RSR) and for the treatment of advanced Class II and III furcation-Involved molars. In addition, evidenced-based clinical trials of retrospective and longitudinal data were also prescribed here. The purpose of this study was to present treatment procedures of Sandwich’s technique and retrospectively to evaluate the long-term clinical trials of this method in treating molar teeth with SAP and molar FI who were diagnosed as guarded and/or hopeless prognosis.

The aim of the present study was to assess the cumulative radiographic periodontal attachment loss (CRPAL) and annually radiographic periodontal attachment loss (ARPAL) of different disease groups over 5 years or more. A total of 53 subjects, who had taken two sets of full-mouth standarized paralleling radiographs with separated periods of 5 years or more in teaching hospital during 1981-2001, were collected for the past 20 years. The radiographic periodontal attachment levels at mesial and distal surfaces of teeth were assessed by measuring the distance between cement-enamel junction and the bone crest using an electronic digital caliper (EDC) under a 10X magnified radiographs. The results revealed that mean CRPAL was highest in the generalized aggressive periodontitis (GAgP) group (-5.523.27 mm), then the chronic periodontitis (CP) group (-4.823.47 mm), and the localized aggressive periodontitis (LAgP) group (-4.473.47 mm) followed, and lowest in the periodontal healthy (PH) group (-1.050.59 mm). The mean ARPAL was highest in the LAgP group (-0.260.25 mm/yr.), then the GAgP group (-0.200.13 mm/yr.), and the CP group (-0.120.09 mm/yr.) followed, and lowest in the periodontal healthy group (0.070.06 mm/yr.). Conclusions showed that mean CRPAL was highest in the generalized aggressive periodontitis group, then the CP group, and the LAgP group followed, and lowest in the periodontal healthy group. In addition, there existed a strong statistical significance (p<0.0001) in both CRPAL and ARPAL (mm) among individuals affected GAgP, LAgP, CP, and PH groups among mild, moderate, and severe periodontitis using paired t-test.

This essay explores how AI can enhance clinical research and, particularly, its pivotal role in the development of medical devices. A data-driven approach to medical device development that can streamline regulatory compliance and quality assurance is discussed. Methods that generate insights from pre-stage data and utilize it during development are detailed. The effectiveness of this approach in compliance audits, 510(k) submissions, and quality system audits - reducing time, effort, and risks is analyzed. The findings are illustrated with practical examples and takeaway recommendations. When reading a scientific article, how many times have you judged the quality of the research by looking at the methodology section? Artificial intelligence algorithms can be developed with the most robust and innovative technology, but if they are not properly validated, they will be worthless in the eyes of regulatory authorities. Conversely, outdated and simplistic models can still gain regulatory clearance if robustness is effectively demonstrated. For better or worse, ethics, economics, and robustness are often sacrificed in the constant government struggle to keep up with the technological edge of AI development. The slow crawl of lawmakers is constant in every field. Automating small tasks can save time and reduce risks when playing catch-up with a changing regulatory framework so the rest of the AI development can continue uninhibitedly. This dives into using FDA open data to collaborate with a food and drug law company and develop several bottom-up initiatives that supply knowledge needed for regulatory compliance and quality systems development. Methods that input pre-stage data and output actionable insights as models are provided. By sharing these resources and advice as academic researchers, efficiency in streamlining processes is maximized, thereby letting more time and resources be allocated to the actual development [1].