ReviewJMA journal2026
Integrating Artificial Intelligence into Personalized Preventive Medicine: Addressing Social Isolation and Elderly Care.
Review in JMA journal, 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.
- Trust in Artificial Intelligence-Generated Oral Health Information and Its Influence on Patient Decision-Making: A Cross-Sectional Study.Oral health & preventive dentistry · 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
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Advancements in artificial intelligence and sensor-based systems are transforming personalized preventive medicine. This "suggestion review" explores an artificial intelligence (AI)-driven healthcare ecosystem that integrates and analyzes personal health data to ensure transparency and tailored guidance for optimal well-being. AI enables real-time health monitoring, proactive interventions, and emergency response systems, addressing current healthcare limitations. By employing advanced machine learning techniques, AI improves decision-making, stress management, and personalized health recommendations. Additionally, this review explores the economic benefits of AI-driven preventive healthcare, emphasizing cost-effectiveness and improved outcomes. Ethical considerations, data security, and user autonomy are also discussed to ensure the responsible deployment of AI in healthcare.
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.