ArticleBMC medical education2025
The role of AI and personalized medicine in healthcare: balancing technological advancements and the art of medicine.
Article in BMC medical education, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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
5 citing papers in PubMed.
- Increasing Minimally Processed Food Intake in Depression via Commercial Meal Delivery: Qualitative Accounts of Participant Experiences.Nutrients · 2026Trial
- Sustaining High Reliability Amid Artificial Intelligence Adoption in Oncology.Journal of clinical oncology : official journal of the American Society of Clinical Oncology · 2026Article
- Precision medicine in low-income settings and small island developing states.Nature reviews. Endocrinology · 2026Review
- Article
- Integrating Artificial Intelligence with Global Genomic Resources: A Narrative Review of Implications for Precision Medicine.Journal of multidisciplinary healthcare · 2026Review
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
In recent decades, global political efforts have increasingly focused on the transformative potential of personalized medicine to prevent disease, improve health outcomes, and lower treatment costs. This has created at pressing demand for healthcare professionals to deepen their understanding and utilizing health data and its application in clinical decision-making. In response, a new master's program in personalized medicine has been launched across five universities in Denmark. This study, drawing on the sociology of expertise, investigates how educators and master's students in the program perceive and engage with the knowledge necessary for integrating artificial intelligence (AI) into patient treatment and care. Our findings suggest a prevailing belief among educators in the potential of AI and big data to revolutionize healthcare by personalizing treatment options and improving diagnostic processes. Course participants generally acknowledged the ethical responsibility to leverage the vast amounts of data provided by patients to enhance treatment outcomes. However, some feared it might undermine the clinical insight they had gained through years of experience - insights they described as 'the art of medicine.' They navigated their agency and autonomy in the human-algorithm collaboration by framing algorithms as supportive additions to human judgment rather than replacements for it. In conclusion, this paper advocates for a more integrated approach that combines big data analysis with practical experience in healthcare.
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What Socratic 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 Socratic graph.