Complete Decisions, LLC, Baton Rouge, LA 70810, United States.
Division of Computer Science & Engineering, Louisiana State University, Baton Rouge, LA 70803, United States.
Int J Med Inform. 2019 Sep;129:413-422. doi: 10.1016/j.ijmedinf.2019.06.017. Epub 2019 Jun 29.
Computer-aided diagnosis (CAD) can assist physicians in effective and efficient diagnostic decision-making. CAD systems are currently essential tools in some areas of clinical practice. In addition, it is one of the established fields of study in the interface of medicine and computer science. There are, however, still some critical challenges that CAD systems face.
This paper first describes a new literature review protocol, the Dynamic PRISMA approach based on the well-known PRISMA (Preferred Reporting Items for Systematic reviews and Meta-Analyses) approach. This new approach enhances the traditional approach by integrating a feedback mechanism module. As a result of the literature review, this paper identifies seven major challenges that occur today in CAD and inhibit the next major developments.
The seven challenges described in this paper involve some technical weaknesses in the interface of medicine and computer science. These challenges are related to various algorithmic limitations, the difficulty of medical professionals to adopt new systems, problems when dealing with patient data, and the lack of guidelines and standardization regarding many aspects of CAD. This paper also describes some of the recent research developments towards these challenges.
If these seven key challenges are addressed properly, then the ways for dealing with them will become the R&D pillars needed to bring CAD to the next level. This would require additional well-coordinated collaboration between researchers and practitioners in the fields of medicine and computer science.
计算机辅助诊断 (CAD) 可以帮助医生进行有效和高效的诊断决策。CAD 系统目前是临床实践某些领域的重要工具。此外，它还是医学和计算机科学接口领域的成熟研究领域之一。然而，CAD 系统仍然面临一些关键挑战。
本文首先描述了一种新的文献综述方案，即基于著名的 PRISMA（系统评价和荟萃分析的首选报告项目）方法的动态 PRISMA 方法。这种新方法通过集成反馈机制模块增强了传统方法。通过文献综述，本文确定了 CAD 中目前存在的七个主要挑战，这些挑战抑制了下一个重大发展。
本文描述的七个挑战涉及医学和计算机科学接口中的一些技术弱点。这些挑战与各种算法限制、医学专业人员采用新系统的困难、处理患者数据时的问题以及关于 CAD 许多方面的缺乏指导方针和标准化有关。本文还描述了针对这些挑战的一些最新研究进展。
如果妥善解决这七个关键挑战，那么应对这些挑战的方法将成为将 CAD 提升到下一个水平所需的研发支柱。这将需要医学和计算机科学领域的研究人员和从业者之间进行更多的协调合作。
