RESUMEN
Pancreatic cancer is a major threat to population health, and there is an urgent need for the novel diagnostic and therapeutic patterns to improve the prognosis. Artificial intelligence (AI) has efficient computing and intelligent analysis capabilities, which brings a new opportunity for the upgrade of the diagnostic and therapeutic patterns of pancreatic cancer. This article reviews the recent progress of AI technology in early screening, diagnosis, treatment and prognosis prediction of pancreatic cancer, then describes the main difficulty and challenges of current AI research in pancreatic cancer, and proposes the future development directions from data quality and algorithm interpretation, etc. The aim is to provide new research ideas for the fusion of AI technology and pancreatic cancer, then promote the development and application of new pancreatic cancer diagnostic and therapeutic models, and ultimately improve the prognosis of patients.
RESUMEN
<p><b>OBJECTIVE</b>The aim of this study was to investigate how to model an accuracy 3-dimension Finite Element Analysis (3D-FEA) model.</p><p><b>METHODS</b>Based on computed tomography (CT) scan data of a woman, a 3D finite element model of the first molar on the left was rebuilt by computer imagines process and computer aided design (CAD). Analysis of the stress distribution on a cylinder dental implant and in the bone around it was conducted.</p><p><b>RESULTS</b>The stress distribution showed extremely asymmetry in bucco-lingual section: stress concentrated on the lingual side of the mandible; stress mainly was tensile in buccal side, and on the contrary compressive in lingual side.</p><p><b>CONCLUSION</b>The results were more reliable because this model more really displayed the mandible.</p>