ArticleJMIR formative research2025
Medicine Beyond Machines: Viewpoint on the Art of Thinking in the Age of AI.
Article in JMIR formative research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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.
- Impact of Large Language Model-assisted Differential Diagnosis on Clinical Decision-making in Dermatology: A Feasibility Study Using ChatGPT-5.Acta dermato-venereologica · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Unlabelled: The widespread adoption of large language models is increasingly shaping clinical decision-making by altering how physicians engage with data and reasoning. While these tools enhance diagnostic capacity, streamline workflows, and support learning, their misuse may diminish critical, contextual, and humanized thinking, reducing physicians to passive validators of algorithmic outputs. This paper explores the evolution of medical cognition and proposes strategies for integrating artificial intelligence in ways that preserve cognitive autonomy, such as structuring information, reducing bias, and strengthening metacognition. We argue that artificial intelligence should serve as a "cognitive stethoscope," a tool that refines reasoning without compromising its essence.
Indexed as
Identifiers
What OpenQuestion 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 OpenQuestion graph.