ReviewBMC medical education2024
Understanding and training for the impact of large language models and artificial intelligence in healthcare practice: a narrative review.
Review in BMC medical education, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 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
20 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Artificial Intelligence in Nursing Practice Education: A Systematic Review and Meta-Analysis.Journal of nursing management · 2026Pooled it
- Artificial intelligence advancements for orthopaedic clinical reasoning: longitudinal assessment of newer models (ChatGPT-5, Grok-3, Gemini 2.5 Flash) compared to clinicians.Archives of orthopaedic and trauma surgery · 2026Article
- Article
- Arkangel AI, OpenEvidence, ChatGPT, Medisearch: Are They Objectively up to Medical Standards? A Real-Life Assessment of LLM Chatbots in Health Care.Mayo Clinic proceedings. Digital health · 2026Article
- Impact of Query Language on the Structure and Guideline Alignment of AI-Generated Rehabilitation Programs in Chronic Kidney Disease.Journal of clinical medicine · 2026Article
- The Role of Large Language Models in the Promotion of Minimally Invasive Interventional Radiologic Methods in Gynecology and Obstetrics.Journal of clinical medicine · 2026Article
- The Current State of Digital Scribes in Primary Care: A Scoping Review.Journal of medical systems · 2026Article
- Enhancing Inter-institutional AI Research Collaboration Across Multidisciplinary Teams to Increase the National AI Workforce in Healthcare.AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science · 2026Article
- ChatGPT in medical education: a cross-sectional analysis of usage, attitudes, perceptions, and practices among Saudi medical students.Frontiers in artificial intelligence · 2026Article
- Large language models in clinical psychiatry: Applications and optimization strategies.World journal of psychiatry · 2025Review
- Digital Learning Tools in Postgraduate Family Medicine Training: A Scoping Review.Family medicine · 2025Article
- Evaluating the Effectiveness of ChatGPT Versus Human Proctors in Grading Medical Students' Post-OSCE Notes.Family medicine · 2025Article
- Acceptability of Academic Large Language Model for Patients Seeking Health Information.Studies in health technology and informatics · 2025Article
- Overview of South Korean Guidelines for Approval of Large Language or Multimodal Models as Medical Devices: Key Features and Areas for Improvement.Korean journal of radiology · 2025Article
- Building health systems capable of leveraging AI: applying Paul Farmer's 5S framework for equitable global health.BMC global and public health · 2025Review
- Using ChatGPT for medical education: the technical perspective.BMC medical education · 2025Article
- Evaluation of the feasibility of artificial intelligence models as patient information advisors for human papillomavirus vaccines.Revista da Associacao Medica Brasileira (1992) · 2025Article
- Population health management fit lifecycles in analytics.Frontiers in artificial intelligence · 2025Article
- Assessing the adherence of large language models to clinical practice guidelines in Chinese medicine: a content analysis.Frontiers in pharmacology · 2025Article
- Revolutionizing precision oncology: the role of artificial intelligence in personalized pediatric cancer care.Frontiers in medicine · 2025Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
11 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Reports of Large Language Models (LLMs) passing board examinations have spurred medical enthusiasm for their clinical integration. Through a narrative review, we reflect upon the skill shifts necessary for clinicians to succeed in an LLM-enabled world, achieving benefits while minimizing risks. We suggest how medical education must evolve to prepare clinicians capable of navigating human-AI systems.
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.