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相关概念视频

Decision Making01:20

Decision Making

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Decision-making is a fundamental cognitive process that involves evaluating alternatives and selecting among them. This process can range from simple choices, such as deciding what to wear, to complex decisions, like choosing a major in college or a career path. The complexity of the decision often dictates the approach we use, which can be broadly categorized into two types: automatic and controlled decision-making.
Automatic decision-making is fast, intuitive, and relies on gut feelings...
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Issues And Trends In Healthcare Delivery System01:29

Issues And Trends In Healthcare Delivery System

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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.
Cost Containment
Payment for healthcare services has historically promoted adoption of costly and often unnecessary or inefficient...
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Ethical Dilemmas II01:30

Ethical Dilemmas II

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Resolving an ethical dilemma in healthcare involves a systematic approach that considers every aspect of the issue, respecting both the patient's needs and values and the healthcare professional's ethical obligations. Here are potential steps to resolve an ethical dilemma:
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Reason and Intuition01:37

Reason and Intuition

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The human brain processes information for decision-making using one of two routes: an intuitive system and a rational system (Epstein, 1994; popularized by Kahneman, 2011 as System 1 and System 2, respectively). The intuitive system is quick, impulsive, and operates with minimal effort, relying on emotions or habits to provide cues for what to do next, while the rational system is logical, analytical, deliberate, and methodical. Research in neuropsychology suggests that the...
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Decision Making: P-value Method01:09

Decision Making: P-value Method

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The process of hypothesis testing based on the P-value method includes calculating the P- value using the sample data and interpreting it.
First, a specific claim about the population parameter is proposed. The claim is based on the research question and is stated in a simple form. Further, an opposing statement to the claim  is also stated. These statements can act as null and alternative hypotheses:  a null hypothesis would be a neutral statement while the alternative hypothesis can...
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An important concept in studying metabolism and energy is that of chemical equilibrium. Most chemical reactions are reversible. They can proceed in both directions, releasing energy into their environment in one direction, and absorbing it from the environment in the other direction. The same is true for the chemical reactions involved in cell metabolism, such as the breaking down and building up of proteins into and from individual amino acids, respectively. Reactants within a closed system...
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Author Spotlight: Advancing CBCT and Digital Dental Image Integration with AI-Assisted Digitization
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医疗决策和人工智能的人工智能

Benjamin Djulbegovic1, Iztok Hozo2

  • 1Hematology Stewardship Program, Division of Hematology/Oncology, Department of Medicine, Medical University of South Carolina, Charleston, SC, USA. djulbegov@musc.edu.

Cancer treatment and research
|October 3, 2023
PubMed
概括

人工智能 (AI) 在提高诊断,预后和治疗的医疗决策方面表现有前途. 然而,广泛的临床采用仍然受到诸如偏见和复杂性等挑战的限制.

科学领域:

  • 医疗信息学 医疗信息学
  • 医疗保健中的人工智能
  • 临床决策支持系统 临床决策支持系统

背景情况:

  • 人工智能 (AI) 模型越来越复杂和强大,为改善医疗决策提供了巨大的潜力.
  • 尽管取得了进展,但人工智能在日常医疗实践中的实际整合至2023年9月为止仍然有限.
  • 了解AI在医学的当前环境对于未来的开发和实施至关重要.

研究的目的:

  • 探索人工智能 (AI) 在医学决策中的潜在应用.
  • 分析在临床环境中使用人工智能的优缺点.
  • 识别和讨论医疗保健人工智能技术固有的局限性和潜在偏见.

主要方法:

  • 审查当前的人工智能 (AI) 在医学诊断中的应用.
  • 分析AI在预测患者预后方面的作用.
  • 检查AI在治疗规划和推中的实用性.

主要成果:

  • 人工智能在诊断,预后和治疗方面展示了潜力,提供数据驱动的见解.
  • 关键的好处包括提高医疗评估的准确性和效率.
  • 仍然存在重大挑战,包括计算复杂性,数据偏差和道德考虑.

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结论:

  • 人工智能 (AI) 对革命医疗决策具有相当大的前景.
  • 克服与偏见,复杂性和临床验证相关的局限性对于广泛采用至关重要.
  • 需要进一步的研究和开发,才能充分实现AI在日常医疗实践中的潜力.