ArticleJournal of medical Internet research2026
The Warmth of Medicine: The Irreplaceability of Doctors in the Era of Artificial Intelligence.
Article in Journal of medical Internet research, 2026. 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.
- A Matter of Trust: Building and Validating the Dental Hygienist Trust Scale.Healthcare (Basel, Switzerland) · 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
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Unlabelled: This article argues that despite the remarkable advances of artificial intelligence (AI) in medicine -including demonstrated capabilities in image recognition, diagnosis, treatment planning, and even empathic communication in controlled settings-the core of medical practice remains irreducibly human. We identify three domains in which AI cannot replace doctors: the holistic, sensory art of clinical observation and intuition; the longitudinal, trust-based doctor-patient relationship built on genuine emotional connection; and the capacity to embrace clinical uncertainty, exercise moral responsibility, and make courageous decisions in the absence of algorithmic guidance. The intended audience includes clinical doctors, medical students, medical educators, and health policy makers navigating the integration of AI into practice. We conclude that preserving "AI-free clinical time" in medical training and safeguarding the humanistic dimensions of care are essential, and technology is to complement rather than diminish the healing arts.
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.