ReviewEinstein (Sao Paulo, Brazil)2026
Artificial Intelligence in Telemedicine: philosophical, ethical, and epistemological dimensions of a transforming practice.
Review in Einstein (Sao Paulo, Brazil), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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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.
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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.
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0 citing papers in PubMed.
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Authors and funding
3 authors.
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Abstract
In the aftermath of the COVID-19 pandemic, telemedicine has evolved from a contingency-based alternative into a structural pillar of healthcare delivery, increasingly being integrated with artificial intelligence. Algorithms for triage, clinical decision support, remote monitoring, and generative language models now actively participate in medical care. This integration is more than just functional; it reorganizes the foundational aspects of medicine-ontological, ethical, and epistemological-by redefining what qualifies as valid knowledge, who has legitimate authority, and how care is organized when an algorithmic agent facilitates the clinical interaction. This article critically examines the emergence of the patient-clinician-algorithm triad in telemedicine, and analyzes its implications for autonomy, informed consent, epistemic trust, privacy, justice, responsibility, and the phenomenology of care. It argues that the future of medicine will not be human or algorithmic but human-algorithmic, provided clinical judgment, explainability, and moral responsibility remain central.
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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.