ARTIFICIAL INTELLIGENCE AS A PROMISING TECHNOLOGY IN MEDICAL EDUCATION AND MEDICINE

Abstract Background With recent transformations in medical education, the integration of technology to improve medical students’ abilities has become feasible. Artificial intelligence (AI) has impacted several aspects of healthcare. However, few studies have focused on medical education. We performed an AI-assisted education study and confirmed that AI can accelerate trainees’ medical image learning. Materials We developed an AI-based medical image learning system to highlight hip fracture on a plain pelvic film. Thirty medical students were divided into a conventional (CL) group and an AI-assisted learning (AIL) group. In the CL group, the participants received a prelearning test and a postlearning test. In the AIL group, the participants received another test with AI-assisted education before the postlearning test. Then, we analyzed changes in diagnostic accuracy. Results The prelearning performance was comparable in both groups. In the CL group, postlearning accuracy (78.66 ± 14.53) was higher than prelearning accuracy (75.86 ± 11.36) with no significant difference (p = .264). The AIL group showed remarkable improvement. The WithAI score (88.87 ± 5.51) was significantly higher than the prelearning score (75.73 ± 10.58, p < 0.01). Moreover, the postlearning score (84.93 ± 14.53) was better than the prelearning score (p < 0.01). The increase in accuracy was significantly higher in the AIL group than in the CL group. Conclusion The study demonstrated the viability of AI for augmenting medical education. Integrating AI into medical education requires dynamic collaboration from research, clinical, and educational perspectives.

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Artificial Intelligence in Medical Education

Indian Pediatrics ◽

10.1007/s13312-021-2228-0 ◽

2021 ◽

Vol 58 (5) ◽

pp. 496-497

Author(s):

Baljeet Maini ◽

Ekta Maini

Keyword(s):

Artificial Intelligence ◽

Medical Education

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Mobile-based learning of drug prescription for medical education using artificial intelligence techniques

International Journal of Mobile Learning and Organisation ◽

10.1504/ijmlo.2021.10040634 ◽

2021 ◽

Vol 15 (4) ◽

pp. 392

Author(s):

Jianming Yong ◽

Elizabeth Zhixin Goh ◽

Xiaohui Tao ◽

Wee Pheng Goh ◽

Xueling Oh ◽

...

Keyword(s):

Artificial Intelligence ◽

Medical Education ◽

Drug Prescription ◽

Artificial Intelligence Techniques

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Learning With Artificial Intelligence Systems

Impact of AI Technologies on Teaching, Learning, and Research in Higher Education - Advances in Educational Technologies and Instructional Design ◽

10.4018/978-1-7998-4763-2.ch015 ◽

2021 ◽

pp. 236-253

Author(s):

Tarana Singh ◽

Jyoti Mishra

Keyword(s):

Artificial Intelligence ◽

Learning Experience ◽

The Internet ◽

Course Quality ◽

Promising Technology ◽

Feedback Data ◽

Monitoring Performance ◽

Artificial Intelligence Systems ◽

Global Classroom

Artificial intelligence (AI) is a part of our lives. Everything that we do on the internet is influenced to various extents by AI. It can automate various tasks in education as well as in other domains. Education domain is mainly benefited by AI, especially for the learning purpose. There may be the software to perform all activities which needs automation. This software can point out that course needs improvement. An AI software can give students and educators helpful feedback. Data, which is powered by AI, also helps schools, teachers, and supports students. There are lots of benefits of AI in education, which improves the learning experience of the students, for example personalization, teaching, grading, feedback on course quality, creating a global classroom, monitoring performance, and a lot more. When a new promising technology emerges and when the limitation of technology and the challenges of applying are often not perfectly understood, then the technology may seem to open radically new possibilities for solving old problems.

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Artificial Intelligence in Medical Education: Best Practices Using Machine Learning to Assess Surgical Expertise in Virtual Reality Simulation

Journal of Surgical Education ◽

10.1016/j.jsurg.2019.05.015 ◽

2019 ◽

Vol 76 (6) ◽

pp. 1681-1690 ◽

Cited By ~ 14

Author(s):

Alexander Winkler-Schwartz ◽

Vincent Bissonnette ◽

Nykan Mirchi ◽

Nirros Ponnudurai ◽

Recai Yilmaz ◽

...

Keyword(s):

Artificial Intelligence ◽

Machine Learning ◽

Medical Education ◽

Virtual Reality ◽

Best Practices ◽

Virtual Reality Simulation ◽

Surgical Expertise

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Deconstructing Canada’s efforts to integrate artificial intelligence in medicine and medical education

McGill Journal of Medicine ◽

10.26443/mjm.v19i1.871 ◽

2021 ◽

Vol 19 (1) ◽

Author(s):

Semsi Kocabas ◽

Elif Bilgic ◽

Andrew Gorgy ◽

Jason Harley

Keyword(s):

Artificial Intelligence ◽

Medical Education ◽

Extracurricular Activities ◽

Interdisciplinary Collaboration ◽

Critical Role ◽

Medical Community ◽

Undergraduate Medical Students ◽

Medical Practitioners ◽

Medical Associations ◽

New Policies

Artificial intelligence (AI) has gained momentum in the last decade in various professional domains, but its usage remains scarce in the field of medicine. Available AI-enhanced devices are not integrated in a consistent fashion throughout Canadian health facilities, and current medical practitioners and students are not well prepared for AI’s impact on their careers. Undergraduate medical students lack fundamental knowledge of AI in medicine, from its impact on patient care and its potential as an adjunct decision-making tool, to the general fundamentals of how AI-enhanced devices work. Currently, postgraduates don’t have access to AI-enhanced devices; this could potentially limit their understanding of how these devices might affect their future clinical practice. Canadian medical universities can play a critical role in familiarizing students with these new devices. Incorporating new topics into the already heavily charged medical curricula may be challenging, but students could make use of extracurricular activities to learn the concept of AI and strengthen interdisciplinary collaboration. Educational institutions would also need to propose policies for the safe and ethical use of devices in classrooms or internships. However, they might require guidance to draft new policies targeting AI in medical education. Canadian medical associations could take the lead to draft AI policies in healthcare to guide the equal and safe implementation of AI-enhanced devices across the Canadian medical community. Our paper will explore the work that has been done related to AI-specific policies in healthcare, focusing on Canada, and provide key points that could be used to organize future policies.

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COVID-19 and the Clinical Phase of the Medical Doctorate Curriculum in Oman

Sultan Qaboos University Medical Journal [SQUMJ] ◽

10.18295/squmj.2021.21.02.006 ◽

2021 ◽

Vol 21 (2) ◽

pp. e191-194

Author(s):

Ikram A Burney ◽

Reem Abdwani ◽

Khamis Al-Hashmi ◽

Nadia Al-Wardy ◽

Muna Al-Saadoon

Keyword(s):

Artificial Intelligence ◽

Medical Education ◽

Health Sciences ◽

Education Curriculum ◽

Sultan Qaboos University ◽

Frontline Workers ◽

Clinical Phase ◽

The World ◽

Special Mention ◽

Medical Education Curriculum

COVID-19 has gripped the world with lightning speed. Since the onset of the pandemic, activity throughout the world came to a grinding halt. However, business had to continue and people have to learn to live with the virus while the pandemic continues to rage. Medical education is no exception and may even deserve special mention, as it prepares frontline workers against the endemics of tomorrow. We discuss here the journey of medical education at the College of Medicine and Health Sciences at Sultan Qaboos University, Muscat, Oman, as the pandemic struck the world and Oman. This work suggests a roadmap for changes, discusses challenges and proposes measures to mitigate the effects of COVID-19 on medical schools. Keywords: COVID-19; Medical Education; Curriculum; Computer Simulation; Artificial Intelligence; Oman.

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