数字方法和人工智能能力在妇产科诊断中的应用

Cardiometry Pub Date : 2023-05-04 DOI:10.18137/cardiometry.2023.27.111117

Elvira R. Safiullina, Ekaterina I. Rychkova, V. Irina, ayorova, Diana Kh. Khairutdinova, Anna A. Slonskaya, Anna S. Faronova, Yaroslava A. Davydova, Izobella A. Mussova

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引用次数: 0

摘要

本文分析了在妇产科领域使用数字方法和人工智能能力进行诊断。作者指出，数字方法和人工智能(AI)在妇科疾病诊断方面具有很大的潜力，因为它可以非常准确和快速地分析医学图像和其他医学数据。例如，人工智能可以通过识别数字图像和筛查测试中的异常情况来帮助诊断宫颈癌。使用人工智能还可以帮助识别其他妇科疾病，如子宫内膜异位症、子宫肌瘤、息肉等。此外，人工智能可以帮助提高诊断的效率和准确性，并减少处理医疗数据所需的时间。在需要快速诊断以便尽早开始治疗的情况下，这一点尤其重要。但是，需要注意的是，人工智能并不能完全取代医生的经验和专业知识。尽管如此，它可以帮助医生做出更准确的诊断，并制定更有效的治疗策略。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Application of digital methods and artificial intelligence capabilities for diagnostics in obstetrics and gynecology

The article analyzes the use of digital methods and artificial intelligence capabilities for diagnostics in the field of obstetrics and gynecology. The author notes that digital methods and artificial intelligence (AI) have a high potential for the diagnosis of gynecological diseases, since it can analyze medical images and other medical data with great accuracy and speed. For example, AI can help in the diagnosis of cervical cancer by identifying anomalies in digital images and screening tests. The use of AI can also help in the recognition of other gynecological diseases, such as endometriosis, uterine fibroids, polyps, etc. In addition, AI can help improve the efficiency and accuracy of diagnostics, as well as reduce the time required to process medical data. This can be especially important in cases where diagnosis needs to be done quickly in order to start treatment as early as possible. However, it should be noted that AI cannot completely replace the experience and expertise of doctors. Still, it can help doctors make more accurate diagnoses and develop more effective treatment strategies.

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来源期刊

Cardiometry MEDICAL LABORATORY TECHNOLOGY-

自引率

0.00%

发文量

审稿时长

6 weeks

期刊介绍： Cardiometry is an open access biannual electronic journal founded in 2012. It refers to medicine, particularly to cardiology, as well as oncocardiology and allied science of biophysics and medical equipment engineering. We publish mainly high quality original articles, reports, case reports, reviews and lectures in the field of the theory of cardiovascular system functioning, principles of cardiometry, its diagnostic methods, cardiovascular system therapy from the aspect of cardiometry, system and particular approaches to maintaining health, engineering peculiarities in cardiometry developing. The interdisciplinary areas of the journal are: hemodynamics, biophysics, biochemistry, metrology. The target audience of our Journal covers healthcare providers including cardiologists and general practitioners, bioengineers, biophysics, medical equipment, especially cardiology diagnostics device, developers, educators, nurses, healthcare decision-makers, people with cardiovascular diseases, cardiology and engineering universities and schools, state and private clinics. Cardiometry is aimed to provide a wide forum for exchange of information and public discussion on above scientific issues for the mentioned experts.