ArticleThoracic research and practice2025
Artificial Intelligence in Medicine.
Article in Thoracic research and practice, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 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
2 citing papers in PubMed.
- Artificial Intelligence in Respiratory Medicine: Epistemic Authority, Trust and Responsibility in Practice and in Training.Thoracic research and practice · 2026Article
- Reply: Artificial Intelligence in Respiratory Medicine: Epistemic Authority, Trust and Responsibility in Practice and in Training.Thoracic research and practice · 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
Artificial intelligence (AI) holds the potential to influence and change the world through many different fields such as science, economics, technology, and art. The modern foundations of AI, with theoretical roots dating back to ancient Egyptian and Greek civilisations, were laid by Alan Turing and John McCarthy in the twentieth century. Early practices in the medical field focused on the archiving and interpretation of radiologic images and possible preliminary diagnoses. As the processing capacity of computers has advanced, so has their skill competence, and it has become possible to implement them in different specialty branches of medicine. On the other hand, ethical, and social problems, dilemmas, and conflicts have begun to arise with practices in the healthcare field. In this sense, AI should be addressed with its potential benefits and problems, knowing that it is tool, free from social prejudices, demographic changes, socio-economic inequalities, and cultural differences and without indulging in dichotomies such as technophilia and technophobia.
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.