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相关概念视频

Local Anesthetics: Clinical Application as Epidural Anesthesia01:29

Local Anesthetics: Clinical Application as Epidural Anesthesia

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Epidural anesthetics are administered in the fat-filled epidural space, the outermost part of the spinal canal. This technique is commonly employed for pain management and anesthesia during lower abdomen and pelvis surgeries or labor and delivery.
Since epidural anesthetics can be infused through an epidural catheter, all types of drugs, including short-acting ones, can be administered. Chloroprocaine and lidocaine are examples of short and long-duration anesthetics, respectively. Bupivacaine...
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Analgesia and Pain Management01:25

Analgesia and Pain Management

623
Pain is critical to various clinical pathologies, provoking an urgent need for effective management. Pain, whether acute or chronic, is a complex neurochemical process. Its alleviation depends on the type, with nonopioid analgesics effective for mild to moderate pain, such as musculoskeletal or inflammatory pain, while neuropathic pain responds best to anticonvulsants, tricyclic antidepressants, or serotonin/norepinephrine reuptake inhibitors. For severe acute or chronic pain, opioids may be...
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Preclinical Development: Overview01:28

Preclinical Development: Overview

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Preclinical development consists of a series of tests that ensure the safety and efficacy of a new therapeutic compound before it is tested in humans. There are four main phases to this process. First, safety pharmacology tests are conducted to ensure the drug does not produce any acutely harmful effects. These tests examine parameters such as bronchoconstriction, cardiac dysrhythmias, blood pressure changes, and ataxia. Next, preliminary toxicological testing is performed to determine the...
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Local Anesthetics: Clinical Application as Surface, Infiltration, and Conduction Block Anesthesia01:30

Local Anesthetics: Clinical Application as Surface, Infiltration, and Conduction Block Anesthesia

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Depending on the target organ, local anesthetics (LAs) can be administered via various routes. In surface anesthesia, LAs are applied directly to the surface of the skin or mucous membranes. It is widely used for topical skin numbing before venipuncture or minor surgical procedures. Commonly used surface local anesthetics are lidocaine or benzocaine sprays or creams. Surface anesthesia occurs within 5 minutes and lasts for about 60 minutes. One of the main disadvantages of topical anesthesia is...
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Local Anesthetics: Clinical Application as Spinal Anesthesia01:11

Local Anesthetics: Clinical Application as Spinal Anesthesia

632
Spinal anesthetics are given during lower abdomen and limb surgeries to block sensory and motor neurons. They are administered in the mid to low lumbar regions, primarily acting on the cauda equina's nerve roots. The blockade level depends on the local anesthetic (LA) concentration. Usually, low LA concentrations are sufficient to block sensory fibers, while only high LA concentrations block motor fibers. Other factors like injection volume and speed, the patient's posture, and the drug...
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Patient-centered Care01:13

Patient-centered Care

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Patient-centered care involves delivering care beyond inpatient hospitalization. Reflective practice can enhance a patient-centered approach. Reflective practice is a process of reasoning that considers all aspects of the present situation, including practicalities, learning from personal practice, and consideration of patient needs. Patients appreciate care decisions made while considering their input. Involving the patient in their care provides the patient with a sense of contribution rather...
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相关实验视频

Updated: Jul 5, 2025

Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness
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开发强大的临床文本深度学习模型 - 一种"无痛"的方法

Yutong Wu1, James A Hughes2,3, Anna-Lisa Lyrstedt3

  • 1The Australian e-Health Research Centre, CSIRO, Brisbane, Australia.

Studies in health technology and informatics
|January 25, 2024
PubMed
概括
此摘要是机器生成的。

一个新的框架增强了临床文本分析的深度学习,即使在有限的健康数据下,也提高了模型性能和稳定性. 这种方法可以确保可靠地识别患者的疾病,例如急诊室的疼痛表现.

关键词:
疼痛 疼痛 疼痛 疼痛深度学习是一种深度学习.紧急情况部门的急救部门.语言模型语言模型文字分类 文本分类 文本分类选护士评估评估的护士

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科学领域:

  • 临床信息学是一种临床信息学.
  • 医疗保健中的人工智能
  • 自然语言处理自然语言处理.

背景情况:

  • 医疗保健中的深度学习模型需要大量的标记数据,这些数据往往很稀缺,而且成本很高.
  • 数据不足给开发强大和可概括的临床文本分类器带来了挑战.
  • 由于特定领域的限制,现有的方法可能会在未见数据上的性能上扎.

研究的目的:

  • 提出一个通用的增量多阶段框架,用于开发对临床文本的强大和高性能深度学习分类器.
  • 为了应对医疗领域数据不足的挑战,为机器学习模型开发.
  • 提高临床文本分析模型的可靠性和通用性.

主要方法:

  • 拟议的框架包含增量多阶段,用于评估培训数据大小.
  • 它包括一个设计用于防止测试数据偏差的交叉验证设置.
  • 稳定性是通过inter/intra-model显著性分析来评估的.

主要成果:

  • 该框架在现实世界任务中展示了有效性和通用性.
  • 该研究成功地使用开发的分类器在急诊室识别了患有"疼痛"的患者.
  • 多相方法在优化有限数据模型性能方面被证明是有益的.

结论:

  • 一般化的增量多阶段框架为构建强大的临床文本深度学习模型提供了可行的解决方案.
  • 这种方法减轻了与健康领域数据稀缺相关的问题.
  • 该框架在识别急诊室疼痛病例方面的成功应用凸显了其实际实用性.