利用人工智能技术在医院信息管理中早期发现健康问题:文献综述研究

Lukito Mindi Cahyo, Santi Dwi Astuti
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引用次数: 2

摘要

健康问题的早期发现需要通过一个综合的医院管理信息系统来支持最优的医院服务质量子系统。人工智能(AI)作为一项现代技术已经进入临床医学的主流。传统上,诊断一直是人工智能在医学领域的主要领域之一。未来几年,人工智能将广泛改变医学图像的诊断和预测分析。病理学和皮肤病学领域的研究已经证明,人工智能在准确检测和分类各种癌症方面的能力超过了人类诊断。健康方面的人工智能技术在疾病诊断方面很有用,可以通过分析医学图像来识别某些疾病,从而能够区分良性和恶性疾病。人工智能还可以帮助识别精神疾病的风险,并识别精神疾病患者或某些人群(如囚犯和士兵)的自杀风险。这有助于医生快速获取疾病信息,提供更准确的疾病诊断,从而节省疾病治疗的时间。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Early Detection of Health Problems through Artificial Intelligence (Ai) Technology in Hospital Information Management: A Literature Review Study
Early detection of health problems needs to be supported by optimal hospital service quality subsystems through an integrated Hospital Management Information System. Artificial intelligence (AI) as a modern technology has entered the mainstream of clinical medicine. Diagnostics has traditionally been one of the main areas of AI in medicine. AI will broadly transform diagnostic and predictive analysis of medical images in the coming years. Studies in the fields of pathology and dermatology have demonstrated the ability of AI to outperform human diagnostics in accurately detecting and classifying various types of cancer. Artificial intelligence technology in the health aspect is useful in disease diagnosis and can analyze medical images to identify certain diseases so that they are able to distinguish between benign and malignant diseases. AI can also help identify the risk of mental illness and identify the risk of suicide among patients with psychiatric disorders or among certain populations, such as prisoners and soldiers. This helps doctors quickly get disease information and provide a more accurate disease diagnosis, thereby saving time for disease treatment.
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