From the Stanford Model to BASINS: A Summary of Model Evolution

Author(s):  
Anthony S. Donigian, Jr. ◽  
John C. Imhoff
2021 ◽  
pp. 101034
Author(s):  
Kevin Feichtinger ◽  
Daniel Hinterreiter ◽  
Lukas Linsbauer ◽  
Herbert Prähofer ◽  
Paul Grünbacher

2021 ◽  
Vol 16 (1) ◽  
Author(s):  
Mingli Wang ◽  
Huikuan Gu ◽  
Jiang Hu ◽  
Jian Liang ◽  
Sisi Xu ◽  
...  

Abstract Background and purpose To explore whether a highly refined dose volume histograms (DVH) prediction model can improve the accuracy and reliability of knowledge-based volumetric modulated arc therapy (VMAT) planning for cervical cancer. Methods and materials The proposed model underwent repeated refining through progressive training until the training samples increased from initial 25 prior plans up to 100 cases. The estimated DVHs derived from the prediction models of different runs of training were compared in 35 new cervical cancer patients to analyze the effect of such an interactive plan and model evolution method. The reliability and efficiency of knowledge-based planning (KBP) using this highly refined model in improving the consistency and quality of the VMAT plans were also evaluated. Results The prediction ability was reinforced with the increased number of refinements in terms of normal tissue sparing. With enhanced prediction accuracy, more than 60% of automatic plan-6 (AP-6) plans (22/35) can be directly approved for clinical treatment without any manual revision. The plan quality scores for clinically approved plans (CPs) and manual plans (MPs) were on average 89.02 ± 4.83 and 86.48 ± 3.92 (p < 0.001). Knowledge-based planning significantly reduced the Dmean and V18 Gy for kidney (L/R), the Dmean, V30 Gy, and V40 Gy for bladder, rectum, and femoral head (L/R). Conclusion The proposed model evolution method provides a practical way for the KBP to enhance its prediction ability with minimal human intervene. This highly refined prediction model can better guide KBP in improving the consistency and quality of the VMAT plans.


2021 ◽  
pp. 36-47
Author(s):  
Sergey Mitsyn ◽  
Egor Bolshakov

Various methods based on growing bodies are lately gaining attention in a context of inverse gravity problem that we call a family of “assembly methods”. A variant of method was adopted for GIS INTEGRO in original formulation that is fit for the problem of multiple bodies incorporated in an environment of varying density, in absolute densities (not density contrasts) that are however have to be a priori specified. Such formulation allowed the implementation of the method that is suitable for territory modeling in the regional scale. To workaround method’s instability a number of changes are proposed that consist of introduction of priority on atomic modifications, modification queue and assessment of model evolution instead of just the final result. The developed software allows processing of large grids (tens of millions of tiling elements) even on 5–8 year old desktops. Based on method approbation experience some insights and practice methods are presented. An application example is presented as part of work on modeling of Enisei-Khatanga regional depression territory.


Author(s):  
Sytnik N.

The need to develop competitive innovative products and services encourages modern organizations to search for new ways to enhance the creative abilities of their personnel. Design thinking is one of the promising tools to elaborate organi-zational potential in generating ideas and developing new products which satisfy customer requirements to the most extent. Over last years design thinking has been developed as a practically­oriented approach aimed at solving customer problems. Within the frame of design thinking, deep understanding of their values, reactions, experience in interaction with the company and behavioral habits serves as a basis for focused ideation, fast prototyping and testing. Although the key characteristics, main stages, tools and techniques of design thinking are well established in the literature, far less attention has been paid to the restrictions and conditions of design thinking application within organizational environment. These issues determined the purpose of the study. First, the paper considered the evolution of the term design thinking, as well as portfolio of its tools and techniques applied at different stages of design thinking process. Further, the advantages, restrictions and conditions of design thinking application were specified. Design thinking allows to achieve 1) externally oriented organizational goals: development of innovations, improvement of products and services in accordance with customer needs, better interaction with customers; 2) internally oriented organizational goals: development of staff experience and creative abilities, team building and enchancing a creative corporate culture. The restrictions of design thinking implementation related to its key features (focus on customer experience, fast ideation, prototyping and testing) were established. Important conditions for design thinking implementation are as follows: understanding and taking into account its restrictions, introduction of a flexible format for design sessions, and formation of design teams in accordance with the experience, competencies and thinking style of their participants. Thus, design thinking is a useful approach for development of customer­oriented innovative solutions, although it should not be considered as a universal tool for solving all organizational problems.Keywords: design, design thinking, creativity, customer experience, Stanford model, «wicked» problems, design thinking techniques. Дизайн­мислення є перспективним напрямом дослідження для науковців і фахівців із менеджменту, ураховуючи позитивний досвід його використання і зростаючу популярність серед провідних компаній світу. Нині відомі характерні риси, етапи, інструменти та техніки дизайн­мислення, однак малодослідженим залишається питання щодо меж практичного застосування цього підходу, його переваг і недоліків. У статті виявлено переваги дизайн­мислення, зокрема: оперативне вдосконалення продуктів і послуг відповідно до потреб клієнтів, тімбілдинг, новий досвід і розвиток креативних здібностей персоналу, формування креативної корпоративної культури. Для успішного застосування дизайн­мислення під час організації дизайн­сесій необхідно враховувати його обмеження, упроваджувати гнучкий формат дизайн­сесій та підбирати учасників дизайн­команд за досвідом, компетенціями і стилем мислення. Ключові слова: дизайн, дизайн­мислення, креативність, клієнтський досвід, Стенфордська модель, wicked­проблеми, техніки дизайн­мислення.


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