De Arka, Mishra Tusar Kanti, Saraf Sameeksha, Tripathy Balakrushna, Reddy Shiva Shankar
School of Computer Science and Engineering, Vellore Institute of Technology, Vellore, Tamil Nadu, India.
Department of Computer Science and Engineering, Manipal Institute of Technology Bengaluru, Manipal Academy of Higher Education, Manipal, Karnataka, 576104, India.
Curr Alzheimer Res. 2024;20(12):845-861. doi: 10.2174/0115672050301514240307071217.
Discoveries in the field of medical sciences are blooming rapidly at the cost of voluminous efforts. Presently, multidisciplinary research activities have been especially contributing to catering cutting-edge solutions to critical problems in the domain of medical sciences. The modern age computing resources have proved to be a boon in this context. Effortless solutions have become a reality, and thus, the real beneficiary patients are able to enjoy improved lives. One of the most emerging problems in this context is Alzheimer's disease, an incurable neurological disorder. For this, early diagnosis is made possible with benchmark computing tools and schemes. These benchmark schemes are the results of novel research contributions being made intermittently in the timeline. In this review, an attempt is made to explore all such contributions in the past few decades. A systematic review is made by categorizing these contributions into three folds, namely, First, Second, and Third Generations. However, priority is given to the latest ones as a handful of literature reviews are already available for the classical ones. Key contributions are discussed vividly. The objectives set for this review are to bring forth the latest discoveries in computing methodologies, especially those dedicated to the diagnosis of Alzheimer's disease. A detailed timeline of the contributions is also made available. Performance plots for certain key contributions are also presented for better graphical understanding.
医学领域的发现正以巨大的努力为代价迅速涌现。目前，多学科研究活动尤其有助于为医学领域的关键问题提供前沿解决方案。在这种情况下，现代计算资源已被证明是一项福音。轻松的解决方案已成为现实，因此，真正的受益患者能够享受更好的生活。在这种背景下，最突出的问题之一是阿尔茨海默病，一种无法治愈的神经疾病。为此，借助基准计算工具和方案可以实现早期诊断。这些基准方案是在时间轴上间歇性做出的新颖研究贡献的成果。在本综述中，我们试图探索过去几十年中所有此类贡献。通过将这些贡献分为三代进行系统综述，即第一代、第二代和第三代。然而，由于已经有一些关于经典贡献的文献综述，所以优先关注最新的贡献。对关键贡献进行了生动的讨论。本次综述设定的目标是展示计算方法学中的最新发现，尤其是那些专门用于阿尔茨海默病诊断的方法。还提供了贡献的详细时间线。为了更好地进行图形理解，还展示了某些关键贡献的性能图。
