ReviewSurgical and radiologic anatomy : SRA2022
The potential scope of a humanoid robot in anatomy education: a review of a unique proposal.
Review in Surgical and radiologic anatomy : SRA, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 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
11 citing papers in PubMed, 1 synthesis or guideline pooled it.
- The Roles of Artificial Intelligence in Teaching Anatomy: A Systematic Review.Clinical anatomy (New York, N.Y.) · 2025Pooled it
- Artificial intelligence in undergraduate medical education: an updated scoping review.BMC medical education · 2025Article
- Anatomage virtual dissection versus traditional human body dissection in anatomy pedagogy: insights from Ghanaian medical students.BMC medical education · 2024Article
- Article
- Teacher or Researcher: Who Comes First in Medical Academia?Medical science educator · 2023Article
- Review
- Overcoming Fear, Uncertainty, and Doubt: Artificial Intelligence (AI) and the Value of Trust.Cureus · 2023Article
- Review
- Article
- Artificial Intelligence in Childcare: Assessing the Performance and Acceptance of ChatGPT Responses.Cureus · 2023Article
- Visualization in Anatomy Education.Advances in experimental medicine and biology · 2023Article
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
introductionApplications based on artificial intelligence and machine learning are becoming more popular in teaching learning. Advanced technologies have facilitated robots to carry out various human-like functions, which have navigated the interest of educators to discover the role of robots as potential teachers, instructors, or teaching assistants in education.
methodsAn extensive search for articles for humanoid robots and education either in the title or keywords was done utilizing PubMed, Google Scholar and Web of Science data sets. The tracking terms were artificial intelligence, education, medical education, anatomy, robots, humanoid robots, teaching, teaching assistant and tutor.
resultsThe usage of artificial intelligence in the form of humanoid robots is quite common. However, literature citing its usage in medical education is rare. Humanoid robots as a teacher or teaching assistants are predominantly used in learning foreign languages. Primarily, a humanoid robot can discharge five functions as a potential teacher.
conclusionHumanoid robots can effectively fulfil numerous educational goals in medicine since they can replicate human responses, work relentlessly regardless of students' repeated mistakes, be loaded with innovative teaching methodologies, and be upgraded with more current information. As a subject of medicine, anatomy is highly visual; therefore, constant endeavors have been initiated to develop technology-enhanced learning over the decades. Although artificial intelligence in humanoid robots has been successfully used in primary education and in learning a foreign language, its scope as an anatomy teacher or teaching assistant is a new and unique idea that needs exploration.
Indexed as
Identifiers
36127513What 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.