ArticleRadiology. Artificial intelligence2022
The Cases for and against Artificial Intelligence in the Medical School Curriculum.
Article in Radiology. Artificial intelligence, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 1 of them a synthesis that pooled 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.
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
24 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Use of artificial intelligence in education and training of radiology.Frontiers in radiology · 2026Pooled it
- Role-Differentiated AI Competencies and Curriculum Implications for Health Professions Education: Qualitative Study.JMIR medical education · 2026Article
- Piloting an AI Introduction Program for Incoming Medical Students: A Novel Approach to Medical Education.Medical science educator · 2026Article
- Education Research: Bridging the Artificial Intelligence Training Gap: Evidence from a National Survey of Italian Neurology Residents.Neurology. Education · 2026Article
- Artificial Intelligence in Medical Education: Transformative Potential, Current Applications, and Future Implications.JMIR medical education · 2026Article
- Framework for AI integration into the undergraduate medical curricula: a scoping review.BMC medical education · 2026Article
- Perception of integrating an AI teaching module into medical education curriculum.Frontiers in medicine · 2026Article
- Artificial intelligence in undergraduate medical education: an updated scoping review.BMC medical education · 2025Article
- AI as teacher: effectiveness of an AI-based training module to improve trainee pediatric fracture detection.Skeletal radiology · 2025Article
- Boosting LLM-assisted diagnosis: 10-minute LLM tutorial elevates radiology residents' performance in brain MRI interpretation.Neuroradiology · 2025Article
- Article
- Situating governance and regulatory concerns for generative artificial intelligence and large language models in medical education.NPJ digital medicine · 2025Review
- Mapping the use of artificial intelligence in medical education: a scoping review.BMC medical education · 2025Article
- EndoCompass Project: Artificial Intelligence in Endocrinology.Hormone research in paediatrics · 2025Review
- Preparing healthcare leaders of the digital age with an integrative artificial intelligence curriculum: a pilot study.Medical education online · 2024Article
- Readiness to Embrace Artificial Intelligence Among Medical Students in Saudi Arabia: A National Survey.Healthcare (Basel, Switzerland) · 2024Article
- Understanding and training for the impact of large language models and artificial intelligence in healthcare practice: a narrative review.BMC medical education · 2024Review
- Global cross-sectional student survey on AI in medical, dental, and veterinary education and practice at 192 faculties.BMC medical education · 2024Article
- Perceptions of undergraduate medical students on artificial intelligence in medicine: mixed-methods survey study from Palestine.BMC medical education · 2024Article
- Artificial Intelligence and Healthcare: A Journey through History, Present Innovations, and Future Possibilities.Life (Basel, Switzerland) · 2024Review
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
Although artificial intelligence (AI) has immense potential to shape the future of medicine, its place in undergraduate medical education currently is unclear. Numerous arguments exist both for and against including AI in the medical school curriculum. AI likely will affect all medical specialties, perhaps radiology more so than any other. The purpose of this article is to present a balanced perspective on whether AI should be included officially in the medical school curriculum. After presenting the balanced point-counterpoint arguments, the authors provide a compromise.
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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.