【通过大脑血流诊断精神分裂症的AI】

【通过大脑血流诊断精神分裂症的AI】IBM和阿尔伯塔大学开发的AI能够通过简单的MRI扫描和建立在观察脑部血液流动基础上的神经网络,帮助医生诊断精神分裂症并预测病症的严重程度。研究团队用95个被测试者的脑部fMRI影像数据集训练了神经网络,在测试中AI成功分辨了对照组和精神分裂症患者,精确度达74%,研究人员希望AI模型可以促进人们对精神分裂症的神经生物学认识,改进疾病的诊疗过程。

IBM's AI can predict schizophrenia by looking at the brain's blood flow

BY Andrew Tarantola

Schizophrenia is not a particularly common mental health disorder in America, affecting just 1.2 percent of the population or around 3.2 million people, but its effects can be debilitating. However, pioneering research conducted by IBM and the University of Alberta could soon help doctors diagnose the onset of the disease and the severity of its symptoms using a simple MRI scan and a neural network built to look at blood flow within the brain.

MRI Image Brain On Black Background

MRI Image Brain On Black Background

"This unique, innovative multidisciplinary approach opens new insights and advances our understanding of the neurobiology of schizophrenia, which may help to improve the treatment and management of the disease," Dr. Serdar Dursun, a Professor of Psychiatry & Neuroscience with the University of Alberta, said in a statement.

The research team first trained its neural network on a 95-member dataset of anonymized fMRI images from the Function Biomedical Informatics Research Network which included scans of both patients with schizophrenia and a healthy control group. These images illustrated the flow of blood through various parts of the brain as the patients completed a simple audio-based exercise. From this data, the neural network cobbled together a predictive model of the likelihood that a patient suffered from schizophrenia based on the blood flow. It was able to accurately discern between the control group and those with schizophrenia 74 percent of the time.

"We've discovered a number of significant abnormal connections in the brain that can be explored in future studies," Dursun continued, "and AI-created models bring us one step closer to finding objective neuroimaging-based patterns that are diagnostic and prognostic markers of schizophrenia."

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What's more, the model managed to also predict the severity of symptoms once they set in. These insights could lead researchers to more effective diagnostic tools and treatment options. And why wouldn't they? IBM's most famous AI, Watson, has already shown that neural networks are surprisingly adept at coming up with effective cancer treatment regimens.

原文链接:https://www.engadget.com/2017/07/20/ibms-ai-can-predict-schizophrenia-by-looking-at-the-brains-blo/


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