Schizophrenia (SZ) is a mental disorder that typically emerges in late adolescence or early adulthood. It reduces the life expectancy of patients by 15 years. Abnormal behavior, perception of emotions, social relationships, and reality perception are among its most significant symptoms. Past studies have revealed the temporal and anterior lobes of hippocampus regions of brain get affected by SZ. Also, increased volume of cerebrospinal fluid (CSF) and decreased volume of white and gray matter can be observed due to this disease. The magnetic resonance imaging (MRI) is the popular neuroimaging technique used to explore structural/functional brain abnormalities in SZ disorder owing to its high spatial resolution. Various artificial intelligence (AI) techniques have been employed with advanced image/signal processing methods to obtain accurate diagnosis of SZ. This paper presents a comprehensive overview of studies conducted on automated diagnosis of SZ using MRI modalities. Main findings, various challenges, and future works in developing the automated SZ detection are described in this paper.

中文翻译：

---

基于磁共振成像模式的精神分裂症人工智能诊断技术概述：方法，挑战和未来工作

精神分裂症（SZ）是一种精神障碍，通常会在青春期末期或成年早期出现。它使患者的预期寿命减少了15年。异常行为，情感感知，社会关系和现实感知是其最明显的症状。过去的研究表明，大脑海马区的颞叶和前叶受到SZ的影响。同样，由于这种疾病，可以观察到脑脊液（CSF）体积增加，白和灰质体积减少。磁共振成像（MRI）由于其较高的空间分辨率，是用于探索SZ障碍的结构/功能性大脑异常的流行神经成像技术。各种人工智能（AI）技术已与先进的图像/信号处理方法结合使用，以获得对SZ的准确诊断。本文对使用MRI方式对SZ进行自动诊断进行的研究进行了全面概述。本文介绍了主要发现，各种挑战以及开发自动SZ检测的未来工作。