生物医学解释AI研究的历史视角
Luca Malinverno1, Vesna Barros2,3, Francesco Ghisoni1
1Porini SRL, Via Cavour, 222074 Lomazzo, Italy.
Patterns (New York, N.Y.)
|September 18, 2023
概括
COVID-19大流行加速了可解释的人工智能 (AI) 在生物医学研究中的趋势. 这项研究分析了出版趋势,显示了2020年后可解释AI (XAI) 研究的显著增加.
科学领域:
- 生物医学研究的研究.
- 人工智能的人工智能
- 机器学习 机器学习
背景情况:
- 这是一个很棒的节目,这是一个很棒的节目.
- 一个黑盒子.
- 人工智能 (AI) 模型的性质需要解释性方法来建立对AI决策的信任.
- 可解释性方法被广泛分为后期解释和内在可解释的算法.
- 2020年初,COVID-19大流行成为一个重要的全球事件.
研究的目的:
- 分析COVID-19流行病与生物医学研究中对可解释AI (XAI) 的关注增加之间的关联.
- 评估COVID-19爆发前后生物医学XAI研究出版率的变化.
主要方法:
- 从PubMed数据库中自动提取与因果关系或可解释性相关的生物医学XAI研究.
- 手动将1603篇论文分为XAI类别的标签.
- 应用一个变化点检测模型来评估COVID-19前后的出版率趋势.
主要成果:
- 在2020年初COVID-19出现后,生物医学XAI研究的出版率显著增加.
- COVID-19 疫情似乎是加速 XAI 在该领域研究日益增长的趋势的驱动因素.
- 该研究确定了大流行病在加强对XAI的关注方面发挥的关键作用.
结论:
- 在生物医学领域内,COVID-19流行病在加速采用和研究对可解释AI (XAI) 的关注方面发挥了关键作用.
- 未来的研究应该探索XAI技术的社会影响和临床应用,以培养对可解释机器学习模型的信任.
相关概念视频
Issues And Trends In Healthcare Delivery System
5.7K
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...
Cost Containment
Payment for healthcare services has historically promoted adoption of costly and often unnecessary or inefficient...
5.7K
Biostatistics: Overview
270
Biostatistics plays a crucial role in understanding and analyzing data in healthcare and biology. Biostatisticians conduct experiments, gather evidence, and draw meaningful conclusions using statistical methods and techniques. Different variables form the foundation of biostatistical analysis, allowing researchers to understand and interpret data effectively. These variables are classified into different types, each serving a specific purpose in statistical analysis.
Discrete variables are...
Discrete variables are...
270
Types of Biopharmaceutical Studies: Controlled and Non-Controlled Approaches
147
Biopharmaceutical studies constitute a vital field aiming to enhance drug delivery methods and refine therapeutic approaches, drawing upon diverse interdisciplinary knowledge. In research methodologies, the choice between controlled and non-controlled studies significantly influences the study's reliability and accuracy.
Non-controlled studies, commonly employed for initial exploration, lack a control group, rendering them susceptible to biases and external influences. In contrast,...
Non-controlled studies, commonly employed for initial exploration, lack a control group, rendering them susceptible to biases and external influences. In contrast,...
147
Introduction to Cognitive Psychology
525
Cognitive psychology is the field of psychology dedicated to examining how people think. It attempts to explain how and why we think the way we do by studying the interactions among human thinking, emotion, creativity, language, and problem-solving, as well as other cognitive processes. Cognitive psychology studies how information is processed and manipulated in remembering, thinking, and knowing.
This field emerged in the mid-20th century, following a period dominated by behaviorism, which...
This field emerged in the mid-20th century, following a period dominated by behaviorism, which...
525
Overview of Biostatistics in Health Sciences
510
Biostatistics involves the application of statistical techniques to scientific research in health-related fields, including biology and public health. These techniques are essential for designing studies, collecting data, and analyzing it to draw meaningful conclusions. Given the complexity of biological processes, particularly in studies involving human subjects, biostatistical methods are crucial for effectively organizing and interpreting data that might otherwise obscure underlying patterns...
510
Mechanistic Models: Overview of Compartment Models
111
Mechanistic models, a category encompassing both physiological and compartmental modeling, differ from empirical models' approaches to incorporating known factors about the systems being modeled. Empirical models describe data with minimal assumptions, while mechanistic models aim to provide a robust description of available data by specifying assumptions and integrating known factors about the system. Compartmental analysis is a key example of a mechanistic model in pharmacokinetics and...
111


