Artificial intelligence and clinical anatomical education: Promises and perils

Lazarus, Michelle D.; Truong, Mandy; Douglas, Peter; Selwyn, Neil

doi:10.1002/ase.2221

Cited by 44 publications

(36 citation statements)

References 110 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

Section: Future Novel Scope Of Artificial Intelligence In Anatomy Edu...mentioning

confidence: 99%

“…According to the latest research reports, there are a few areas in Anatomy where one can find the novelty of AI and these include (1) studying human variations, (2) in healthcare practice, (3) diversity and social justice, (4) student support and (5) student learning [ 77 ]. It has also been suggested that there should be proper training and support for Anatomy educators regarding how to interpret AI student monitoring and when to depend “on the humanness of education over the data-driven recommendations” [ 77 ]. It has been suggested that focusing artificial intelligence-infused Anatomy education (AIEd) development on challenging complicated anatomical areas such as the middle ear or the pterygopalatine fossa, areas where human instructors often struggle, could be beneficial [ 77 ].…”

Section: Future Novel Scope Of Artificial Intelligence In Anatomy Edu...mentioning

confidence: 99%

“…It has also been suggested that there should be proper training and support for Anatomy educators regarding how to interpret AI student monitoring and when to depend “on the humanness of education over the data-driven recommendations” [ 77 ]. It has been suggested that focusing artificial intelligence-infused Anatomy education (AIEd) development on challenging complicated anatomical areas such as the middle ear or the pterygopalatine fossa, areas where human instructors often struggle, could be beneficial [ 77 ].…”

Section: Future Novel Scope Of Artificial Intelligence In Anatomy Edu...mentioning

confidence: 99%

“…Clinicians are always exposed to ambiguities, anomalies and uncertainties. It is acknowledged that clinical expertise is not primarily based on objective facts and procedural decision-making but also depends on competencies even in diagnosing borderline and atypical cases [ 77 ].…”

Section: Future Novel Scope Of Artificial Intelligence In Anatomy Edu...mentioning

confidence: 99%

See 3 more Smart Citations

Teaching, Learning and Assessing Anatomy with Artificial Intelligence: The Road to a Better Future

Abdellatif

Mushaiqri

Albalushi

et al. 2022

IJERPH

View full text Add to dashboard Cite

Anatomy is taught in the early years of an undergraduate medical curriculum. The subject is volatile and of voluminous content, given the complex nature of the human body. Students frequently face learning constraints in these fledgling years of medical education, often resulting in a spiraling dwindling academic performance. Hence, there have been continued efforts directed at developing new curricula and incorporating new methods of teaching, learning and assessment that are aimed at logical learning and long-term retention of anatomical knowledge, which is a mainstay of all medical practice. In recent years, artificial intelligence (AI) has gained in popularity. AI uses machine learning models to store, compute, analyze and even augment huge amounts of data to be retrieved when needed, while simultaneously the machine itself can be programmed for deep learning, improving its own efficiency through complex neural networks. There are numerous specific benefits to incorporating AI in education, which include in-depth learning, storage of large electronic data, teaching from remote locations, engagement of fewer personnel in teaching, quick feedback from responders, innovative assessment methods and user-friendly alternatives. AI has long been a part of medical diagnostics and treatment planning. Extensive literature is available on uses of AI in clinical settings, e.g., in Radiology, but to the best of our knowledge there is a paucity of published data on AI used for teaching, learning and assessment in anatomy. In the present review, we highlight recent novel and advanced AI techniques such as Artificial Neural Networks (ANN), or more complex Convoluted Neural Networks (CNN) and Bayesian U-Net, which are used for teaching anatomy. We also address the main advantages and limitations of the use of AI in medical education and lessons learnt from AI application during the COVID-19 pandemic. In the future, studies with AI in anatomy education could be advantageous for both students to develop professional expertise and for instructors to develop improved teaching methods for this vast and complex subject, especially with the increasing paucity of cadavers in many medical schools. We also suggest some novel examples of how AI could be incorporated to deliver augmented reality experiences, especially with reference to complex regions in the human body, such as neural pathways in the brain, complex developmental processes in the embryo or in complicated miniature regions such as the middle and inner ear. AI can change the face of assessment techniques and broaden their dimensions to suit individual learners.

show abstract

Section: Future Novel Scope Of Artificial Intelligence In Anatomy Edu...mentioning

confidence: 99%

Section: Future Novel Scope Of Artificial Intelligence In Anatomy Edu...mentioning

confidence: 99%

Section: Future Novel Scope Of Artificial Intelligence In Anatomy Edu...mentioning

confidence: 99%

Section: Future Novel Scope Of Artificial Intelligence In Anatomy Edu...mentioning

confidence: 99%

See 2 more Smart Citations

Teaching, Learning and Assessing Anatomy with Artificial Intelligence: The Road to a Better Future

Abdellatif

Mushaiqri

Albalushi

et al. 2022

IJERPH

View full text Add to dashboard Cite

show abstract

“…Understanding the intricate concepts and situations presented in medical education necessitates expertise in a variety of disciplines. Complicated medical situations and ethical or professional dilemmas may be difficult for AI to address effectively 10.…”

mentioning

confidence: 99%

Initial impressions of ChatGPT for anatomy education

Mogali

2023

Anatomical Sciences Ed

View full text Add to dashboard Cite

The release of Open AI's ChatGPT (Generative Pre-trained Transformer) in November 2022 has generated widespread attention and speculations in the world's mainstream media, social media, and tech industries. 1 It can perform text production, translation, and even answer questions based on the input it receives. 2 For instance, it can produce well-organized essays, poetry, and computer programs. In a recent white paper by the University of Pennsylvania's Wharton School of Business, the ChatGPT chatbot scored high enough in a Masters of Business Administration (MBA) OperationsManagement course to earn a final exam grade of at least a "B-". 3 Within higher education, ChatGPT introduces a mix of new challenges and promises related to teaching and learning, curriculum design, and assessment approaches. 1,3 Proponents of this technology boast that it is the best Artificial Intelligence (AI) chatbot ever created and could be an advantageous tool for students, if used properly; whilst others warn that ChatGPT has the potential to spread misinformation masked as advanced falsehoods. 4,5 The online propagation of misinformation (false and inaccurate information) and disinformation (false information that is intentionally designed to mislead) are serious matters that could impede society's ability to improve public health, tackle climate change, and address other impactful issues. Some institutions have already prohibited the use of ChatGPT on school-owned computers and networks out of concern that it will unwittingly encourage academic dishonesty. 1,6 To counter some of the unintended consequences of ChatGPT, a new application, GPTZero released in January of 2023, returns a plagiarism score to estimate the likelihood of an AI-written document.GPTZero is a free tool that educators can add to their arsenal to ensure the originality of students' work. Like many, I am constantly intrigued by new technologies that can enhance anatomy teaching and learning. As such, I could not wait to experiment with this new AI chatbot. My initial views of ChatGPT and its responses to inquiries about human anatomy are presented here.

show abstract

Responding to the healthcare workforce shortage: A scoping review exploring anatomical pathologists' professional identities over time

Rozario

Sarkar

Farlie

et al. 2023

Anatomical Sciences Ed

Self Cite

View full text Add to dashboard Cite

Anatomical pathology (AP) is an anatomy‐centric medical specialty devoted to tissue‐based diagnosis of disease. The field faces a current and predicted workforce shortage, likely increasing diagnostic wait times and delaying patient access to urgent treatment. A lack of AP exposure is proposed to preclude recruitment to the field, as medical students are afforded only a limited understanding of who a pathologist is and what they do (their professional identity/PI and role). Anatomical sciences educators may be well placed to increase student understanding of anatomical pathologists' PI features, but until features of anatomical pathologists' PI are understood, recommendations for anatomy educators are premature. Thus, this scoping review asked: “What are the professional identity features of anatomical pathologists reported in the literature, and how have these changed over time?” A six‐stage scoping review was performed. Medline and PubMed, Global Health, and Embase were used to identify relevant studies (n = 74). Team‐based framework analysis identified that features of anatomical pathologists' professional identity encompass five overarching themes: professional practice, views about the role, training and education, personal implications, and technology. Technology was identified as an important theme of anatomical pathologists' PI, as it intersected with many other PI feature themes, including diagnosis and collaboration. This review found that pathologists may sometimes perceive professional competition with technology, such as artificial intelligence. These findings suggest unique opportunities for integrating AP‐specific PI features into anatomy teaching, which may foster student interest in AP, and potentially increase recruitment into the field.

show abstract

Artificial intelligence and clinical anatomical education: Promises and perils

Cited by 44 publications

References 110 publications

Teaching, Learning and Assessing Anatomy with Artificial Intelligence: The Road to a Better Future

Teaching, Learning and Assessing Anatomy with Artificial Intelligence: The Road to a Better Future

Initial impressions of ChatGPT for anatomy education

Responding to the healthcare workforce shortage: A scoping review exploring anatomical pathologists' professional identities over time

Contact Info

Product

Resources

About