ArticleOpen forum infectious diseases2026
The Infectious Diseases Orchestrator: Embracing AI Literacy in the Agentic Era.
Article in Open forum infectious diseases, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper, 1 of them a synthesis that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
1 citing paper in PubMed, 1 synthesis or guideline pooled it.
- Development of AI competencies within the medical curriculum.Frontiers in medicine · 2026Pooled it
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Artificial intelligence (AI) is rapidly transforming healthcare, with agentic AI systems positioned to perceive, reason, and act within clinical environments. For infectious diseases (ID) clinicians, agentic AI presents both opportunity and imperative; to embrace AI literacy and remain actively engaged in shaping their design rather than becoming passive adopters in clinical care, antimicrobial stewardship, and infection control. Historical examples show that professions failing to adapt to automation faced challenges, highlighting the urgency for ID specialists to understand AI's evolving role. While AI can streamline documentation, surveillance, and decision support, clinicians must advocate for high-quality data, define appropriate automation boundaries, and ensure human oversight in critical decisions. ID communities should lead efforts to educate clinicians, establish AI governance policies in ID operational practices, and foster interdisciplinary collaboration to guide responsible AI integration. AI literacy is the "no-regret" investment that will enable clinicians to lead this transformation-ensuring that AI supports, augments, and, when appropriate, automates the repetitive, searchable, and time-consuming tasks. The future of ID practice will be defined by how effectively clinicians leverage AI to enhance care, promote equitable access, and reclaim time for the human dimensions of medicine.
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Identifiers
What Socratic holds
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 Socratic graph.