When intelligence begins to act: a thoughtful appraisal of agentic AI in biomedicine.

IF 7.7 2区生物学 Q1 BIOCHEMICAL RESEARCH METHODS

Briefings in bioinformatics Pub Date : 2026-05-03 DOI:10.1093/bib/bbag213

Partha Pratim Ray

引用次数: 0

Abstract

The expanding role of intelligent systems in biomedical science marks a shift from passive analysis towards active participation in discovery and care. Recent scholarship has begun to frame these systems not merely as models, but as agents capable of planning, interaction, and adaptation. This letter reflects on such developments, acknowledging their conceptual clarity and practical ambition, while raising questions about evaluation, responsibility, human judgement, and long-term scientific culture. The intent is to encourage careful reflection as these technologies move closer to real-world integration.

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当智能开始行动：对生物医学中人工智能的深思熟虑的评价。

智能系统在生物医学科学中的作用日益扩大，标志着从被动分析向积极参与发现和护理的转变。最近的学术研究已经开始将这些系统不仅作为模型，而且作为能够规划、互动和适应的代理。这封信反映了这些发展，承认其概念的明确性和实际的雄心，同时提出了有关评估、责任、人类判断和长期科学文化的问题。这样做的目的是鼓励人们在这些技术越来越接近现实世界的集成时进行仔细的反思。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Briefings in bioinformatics 生物-生化研究方法

CiteScore

13.20

自引率

13.70%

发文量

549

审稿时长

6 months

期刊介绍： Briefings in Bioinformatics is an international journal serving as a platform for researchers and educators in the life sciences. It also appeals to mathematicians, statisticians, and computer scientists applying their expertise to biological challenges. The journal focuses on reviews tailored for users of databases and analytical tools in contemporary genetics, molecular and systems biology. It stands out by offering practical assistance and guidance to non-specialists in computerized methodologies. Covering a wide range from introductory concepts to specific protocols and analyses, the papers address bacterial, plant, fungal, animal, and human data. The journal's detailed subject areas include genetic studies of phenotypes and genotypes, mapping, DNA sequencing, expression profiling, gene expression studies, microarrays, alignment methods, protein profiles and HMMs, lipids, metabolic and signaling pathways, structure determination and function prediction, phylogenetic studies, and education and training.