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相关概念视频

Synthesis and Regulation of Thyroid Hormones01:20

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Low blood levels of the thyroid hormones — triiodothyronine (T3) and thyroxine (T4) — signal the hypothalamus to release the thyrotropin-releasing hormone (TRH). TRH then reaches the pituitary gland and stimulates the release of thyroid-stimulating hormone(TSH) into the bloodstream.
Upon reaching the thyroid gland, TSH stimulates the follicular cells' active uptake of iodide ions from the blood. The ions diffuse to the apical surface of the cells and are oxidized to iodine. The...
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The issues and trends in healthcare delivery are constantly changing. The COVID-19 pandemic is one recent issue that wreaked havoc on healthcare systems, causing a shortage of healthcare workers, high demand for medicines and supplies, and increased medical expenditure due to a lack of insurance. Other issues include rising healthcare costs and care fragmentation.
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The thyroid gland is a small, butterfly-shaped gland located in the neck and covers the anterior surface of the trachea. The gland has two lateral lobes connected by a thin tissue mass called the isthmus. Internally, each lobe comprises many small spherical structures known as thyroid follicles, surrounded by a network of blood vessels.
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The thyroid hormone (TH) plays a pivotal role in the intricate orchestration of physiological processes, exerting profound effects on development, metabolism, and homeostasis throughout different life stages.
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相关实验视频

Updated: Sep 17, 2025

Author Spotlight: Integrating Ultrasound Imaging with Biochemical Markers for Thyroid Disease Diagnosis
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人工智能在治疗甲状腺疾病方面的应用进展.

Qing Lu1, Yu Wu1, Jing Chang1

  • 1Department of Ultrasound, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.

Frontiers in endocrinology
|July 2, 2025
PubMed
概括

人工智能 (AI) 通过改进的诊断和个性化治疗来增强甲状腺疾病的管理. 甲状腺学中的AI应用正在不断发展,提供持续监测和早期复发检测,同时面临实施挑战.

关键词:
人工智能的人工智能是人工智能.深度学习是一种深度学习.病理学的病理学无线电学 (radiomics) 是一种无线电学.甲状腺结节 甲状腺结节超声波学 超声波学 超声波学

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科学领域:

  • 内分泌学和医学成像学
  • 计算医学是一种计算医学.
  • 医疗信息学 医疗信息学

背景情况:

  • 自20世纪90年代以来,人工智能 (AI) 已被用于甲状腺疾病研究,最初专注于甲状腺功能和结节分类.
  • 最近机器和深度学习的进步扩大了AI在甲状腺疾病管理中的作用,包括图像分析,诊断,治疗和监测.

研究的目的:

  • 系统地审查人工智能在甲状腺疾病管理中的历史演变和当前应用.
  • 突出AI对诊断准确度,个性化治疗和患者随访的影响.
  • 识别和讨论阻碍AI在内分泌学中的临床实施的挑战.

主要方法:

  • 自20世纪90年代以来,对甲状腺疾病中的AI应用进行了全面的文献综述.
  • 分析了超声波,CT/MRI和组织病理学领域的研究.
  • 评估人工智能在多式联络来源 (超声波,电子健康记录,可穿戴设备) 的数据合成中的作用.

主要成果:

  • 人工智能显著降低了超声检查中的主观性,并提高了区分良性和恶性甲状腺结节的准确性.
  • 人工智能通过合成多式联络数据来促进持续的患者监测,从而能够在甲状腺切除术后早期检测亚临床复发.
  • 人工智能支持个性化治疗策略,并增强甲状腺疾病的随访协议.

结论:

  • 人工智能显示出巨大的潜力,可以彻底改变甲状腺疾病的管理,从诊断到个性化护理和监测.
  • 解决数据隐私,模型解释性,数据异质性和伦理问题等挑战对于成功的临床翻译至关重要.
  • 对人工智能的持续研究和开发对于优化将其整合到甲状腺疾病的常规临床实践中至关重要.