Evidence map›Paper›PMID 42729343›Full record

ArticleFrontiers in digital health2026

Managing vulnerability: cross-sector reflections on the ethics and equity implications of AI use among young adults with chronic conditions.

MacKenzie Isaac, Sneha Dave, Terry Adirim

Abstract read
In one paragraph

Article in Frontiers in digital health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from 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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

MacKenzie IsaacNuffield Department of Population Health, Medical Sciences Division, University of Oxford, Oxford, United Kingdom.
Sneha DaveGeneration Patient, Indianapolis, IN, United States.
Terry AdirimDepartments of Pediatrics and Preventative Medicine and Statistics, Uniformed Services University of the Health Sciences, Bethesda, MD, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Generation Patient, a global advocacy organization led by young adults with chronic and rare medical conditions, convened a Roundtable in December 2025 to explore the potential and realized impacts of increased AI use in patient care. Across two hours, fifteen participants with a blend of lived, scholarly, and professional expertise engaged in a semi-structured focus group on the benefits and drawbacks of using AI to meet their healthcare needs within and beyond the clinic. Reflexive thematic analysis of the Roundtable transcript shed light on AI's promise to ease the administrative and emotional burden for young adults with complex conditions transitioning into adult care. However, increased use of AI for clinical administrative support raises concerns about patient data protection, stewardship, and equity. The Roundtable also extensively discussed the "double edged sword" of generative and conversational AI's tendency to affirm users' inputs, particularly in the case of mental health companion chatbots. Committed to translating these insights into actionable steps, participants recommended that AI developers and distributors adopt a DesignJustice approach-modeled by the Roundtable itself-to collaboratively build AI tools with end users and health equity experts who can support the creation of ethical standards, marketing strategies, and impact evaluations that focus on reducing harm and maximizing social good. At a policy level, broadening definitions of what constitutes a "medical device" to any AI tool with the capability of processing health-related data will increase the scope of the federal government's obligation and ability to protect patients.

Indexed as

AI ethics and governancechronic illness managementdesign justicehealth and digital literacyhealth equitypatient-centered designresponsible technology developmentyoung adult patients

Identifiers

PMID42729343
PMCPMC13561963

What OpenQuestion holds

Textmetadata
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Registered trials

None linked

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.