ArticleAdvanced science (Weinheim, Baden-Wurttemberg, Germany)2026
From Chatbots to Co-Scientists: The Impact of Knowledge-Generating AI (AI 4.0) on Healthcare and Research.
Article in Advanced science (Weinheim, Baden-Wurttemberg, Germany), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
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Authors and funding
2 authors.
Funding
Abstract
While artificial intelligence (AI) has developed as a computational concept for 70 years, its transformative impact on biomedical research and healthcare has explosively accelerated over just the last five years. We are now standing at the precipice of a profound paradigm shift: The emergence of fourth-generation, knowledge-generating AI (AI 4.0). Unlike its predecessors, which primarily synthesized existing information, AI 4.0 possesses advanced reasoning and multi-agentic capabilities that elevate it from a passive tool to an autonomous "co-scientist." By independently formulating novel, testable hypotheses, AI 4.0 promises to catalyze biomedical discoveries, dramatically accelerate the development of new treatments, and redefine patient care. In this perspective, we trace the evolutionary arc of AI through its first three generations to contextualize this historic leap. We then explore the transformative potential of AI 4.0 across drug repurposing, genomic medicine, and scientific peer review. Finally, we highlight a critical emerging bottleneck: The urgent need to overhaul our traditional laboratory infrastructure to keep pace with the sheer volume of AI-generated scientific insight.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.