对生成AI和大型语言模型进行范围审查,以减轻与药物相关的危害
Jasmine Chiat Ling Ong1,2,3, Michael Hao Chen3, Ning Ng4
1Division of Pharmacy, Singapore General Hospital, Singapore, Singapore.
NPJ digital medicine
|March 29, 2025
概括
生成型人工智能 (GenAI) 和大型语言模型 (LLM) 在减少与药物相关的危害方面表现有前途. 需要进一步的研究来在现实世界的临床环境中测试这些AI工具.
科学领域:
- 医疗信息学 医疗信息学
- 人工智能在医学中的应用
- 药物监督 药物监督 药物监督
背景情况:
- 与药物相关的危害对全球医疗保健成本和患者的结果产生重大影响.
- 生成型人工智能 (GenAI) 和大型语言模型 (LLM) 为减轻这些风险提供了潜在的解决方案.
研究的目的:
- 评估GenAI和LLMs在减少与药物相关的危害方面的范围和有效性.
- 确定关键应用,并评估这些AI模型在药物安全方面的表现.
主要方法:
- 在四个数据库中进行系统的文献审查.
- 纳入标准侧重于2012年1月至2024年10月期间发表的研究.
- 从3988.8人的初始池中分析了30个选定的文章.
主要成果:
- 在药物相互作用识别,临床决策支持和药物监督中应用了GenAI和LLM.
- 模型展示了早期不良药物事件识别,分类和药物管理支持的潜力.
- 在不同的应用中,性能和实用性各不相同.
结论:
- 基因AI和LLM显示出提高药物安全性和减少危害的前景.
- 未来研究是必要的,以验证这些人工智能技术的现实世界的整合和应用.
- 需要进一步的研究,才能充分理解AI在药物监测中的临床实用性和影响.
更多相关视频
03:14Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness
Published on: December 6, 2024
05:47Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems
Published on: June 13, 2025
相关概念视频
Pharmacovigilance
Post-marketing surveillance is a critical component of pharmaceutical regulation, often uncovering unanticipated adverse drug reactions (ADRs) once a drug is widely used over an extended period.
This process, termed pharmacovigilance, aims to detect, evaluate, and minimize harmful effects related to medication use. The data collection for pharmacovigilance depends on spontaneous reporting systems, where healthcare professionals or patients voluntarily report suspected ADRs.
In some cases, there...
This process, termed pharmacovigilance, aims to detect, evaluate, and minimize harmful effects related to medication use. The data collection for pharmacovigilance depends on spontaneous reporting systems, where healthcare professionals or patients voluntarily report suspected ADRs.
In some cases, there...
Drug Dosing: Geriatric Patients
Elderly individuals encompass a diverse population with varying degrees of age-related physiological changes. Defining the elderly presents challenges, as the geriatric population is often arbitrarily categorized as individuals older than 65. However, many individuals in this group lead active and healthy lives, with an increasing number surpassing 85 years and falling into the older elderly category. Physiological changes associated with aging impact performance capacity and homeostatic...
Pharmacodynamic Models: Overview
Pharmacodynamic (PD) responses describe the interaction between a drug and its biological target, culminating in a physiological effect. These responses can be classified into different types: continuous variables, such as blood glucose levels; categorical outcomes, like survival rates; and time-to-event metrics, such as disease progression. Understanding and modeling PD responses are critical for optimizing drug efficacy and safety.PD models describe the relationship between drug concentration...
Impact of Pharmacokinetic–Pharmacodynamic Models: Regulatory Decisions
PK–PD modeling has significantly influenced FDA regulatory decisions, particularly drug approval, dosage optimization, and labeling. These models integrate pharmacokinetics (PK) and pharmacodynamics (PD) to predict drug behavior and effects, aiding in optimizing dosing regimens and enhancing the probability of clinical trial success.One notable example is Nesiritide (Natrecor®), a recombinant human brain natriuretic peptide for treating acute decompensated congestive heart failure (CHF).
Drug Toxicity: Risk factors
Adverse Drug Reactions (ADRs) are potential complications that arise during pharmacotherapy, influenced by multiple risk factors. Age plays a significant role; both neonates and the elderly are at heightened risk due to their respective immature and diminished metabolic and elimination processes. Gender also impacts ADRs, with females experiencing a 1.5 to 1.7-fold greater risk than males, which may be linked to pharmacokinetic, pharmacodynamic, and hormonal differences. Notably, neonates, the...
Pharmaceutical Poisoning: Potential Scenarios
Pharmaceutical poisoning can occur through various channels, impacting an estimated 2 million hospitalized patients in the U.S. annually with serious adverse drug responses. These scenarios encompass both therapeutic uses, such as drug toxicity, where even standard dosages can lead to severe central nervous system depression, and non-therapeutic exposures, including accidental ingestion by children, and environmental and occupational exposures.Unintentional poisonings often involve exploratory...
